Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Sales Manager

Machine Learning Engineer Lead

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

AI / ML Engineer

Solution Architect, Cargo Management Systems

AVP - Group Human Capital Solution Architect

Application Developer - Fullstack Developer

Role Description: <ul><li>Responsible for sales and business development for Two-Wheeler (2W) OEM customers within clients Automotive Business Unit.</li><li>Drive key account growth, customer acquisition, and execution of Component Aggregate Manufacturer (CAM) and Harness Maker (HM) development strategies.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Drive revenue growth for assigned 2W OEM accounts across Karnataka &amp; Tamil Nadu Region</li><li>Develop and execute account strategies aligned with Automotive BU objectives</li><li>Maintain strong relationships with key stakeholders across OEMs including procurement, engineering, and program teams&nbsp;</li><li>Identify and develop new business opportunities with 2W OEMs and emerging EV players&nbsp;</li><li>Lead Component Aggregate Manufacturer (CAM) engagement activities including RFQs, pricing, negotiations, and contract closure&nbsp;</li><li>Collaborate with engineering and product teams for new product introductions and customization&nbsp;</li><li>Drive Harness Maker (HM) ecosystem development for increased wallet share&nbsp;</li><li>Track market trends, competitor activity, and customer strategy in 2W segment&nbsp;</li><li>Ensure accurate sales forecasting and pipeline management&nbsp;</li><li>Drive design-in activities and support project lifecycle from concept to SOP</li><li>Intensive travel &amp; expected to be at customer’s location (more than 75% working days) within Karnataka &amp; Tamil Nadu Region</li></ul> Key Performance Indicators (KPIs)&nbsp; <ul><li>Retention and growth of existing business across assigned accounts&nbsp;</li><li>Comprehensive competition mapping and strategic counter-planning&nbsp;</li><li>Deep understanding and effective promotion of our client portfolio&nbsp;</li><li>Driving new product development (NPD) aligned with customer needs&nbsp;</li><li>Achieve and exceed revenue growth targets year-on-year&nbsp;</li><li>Maintain healthy Accounts Receivable (AR) and ensure timely collections&nbsp;</li><li>Build and sustain a strong 5-year revenue pipeline&nbsp;</li><li>Identify, understand, and capitalize on future trends in the 2W (ICE &amp; EV) industry&nbsp;</li><li>Increase our client content per vehicle/platform&nbsp;</li><li>Coordinate with cross-functional teams (CFTs) to drive new project wins and execution&nbsp;</li><li>Strong understanding of 2W ICE and EV architectures to enable solution selling&nbsp;</li></ul> Requirements:&nbsp; Qualifications &amp; Experience&nbsp; <ul><li>Bachelor’s degree in Engineering (Mechanical/Electrical/Electronics preferred); MBA is a plus&nbsp;</li><li>5-10 years of experience in automotive sales/business development&nbsp;</li><li>Strong exposure to Two-Wheeler OEMs in India&nbsp;</li><li>Experience in connectors, wiring harness, or automotive components preferred&nbsp;</li><li>Proven track record in key account management and business growth&nbsp;</li></ul> Skills&nbsp; <ul><li>Strong negotiation and influencing skills&nbsp;</li><li>Excellent relationship management&nbsp;</li><li>Strategic thinking and execution&nbsp;</li><li>Technical understanding of automotive electrical/electronic systems&nbsp;</li><li>Strong communication and presentation skills&nbsp;</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

Role Description: <ul><li>We are seeking an experienced Sales Manager to drive profitable sales growth across Brazil for a global specialist manufacturer of technical solutions serving the tobacco and related industries.</li><li>The role combines new business development, key account management, market development and strategic sales planning.</li><li>The successful candidate will be expected t identify white-space opportunities, establish relationships with new customers, develop existing accounts and build a sustainable commercial pipeline.</li><li>This is a highly autonomous commercial role requiring someone who can operate confidently in a technical B2B environment, build credibility with customers and translate market intelligence into revenue opportunities.</li></ul> Responsibilities: Sales &amp; Business Development <ul><li>Develop profitable sales growth across Brazil.</li><li>Identify and develop new business opportunities.</li><li>Prospect and target priority customers and markets.</li><li>Establish relationships with prospects and convert opportunities into orders.</li><li>Manage the full sales cycle from initial enquiry through qualification, negotiation and order completion.</li><li>Develop and maintain strong relationships with key accounts.</li><li>Identify opportunities to increase revenue, profitability and customer lifetime value.</li><li>Identify opportunities for new products and solutions.</li></ul> Market Development <ul><li>Develop and implement the regional sales plan.</li><li>Identify underpenetrated markets, customer segments and white-space opportunities.</li><li>Conduct market segmentation and customer prioritisation.</li><li>Monitor market trends, competitor activity and pricing.</li><li>Develop customer and market intelligence to support commercial decision-making.</li><li>Identify opportunities to improve profitability, service and market penetration.</li><li>Work with internal teams to develop appropriate customer propositions.</li></ul> Key Account Management <ul><li>Develop and execute account strategies for key customers.</li><li>Engage with customers across relevant commercial and functional levels.</li><li>Coordinate with regional and global account teams.</li><li>Identify additional opportunities within existing customers.</li><li>Develop customer relationship and contact plans.</li><li>Monitor account performance against agreed plans and targets.</li><li>Coordinate internal resources to support customer requirements.</li></ul> Sales Performance &amp; Forecasting <ul><li>Manage the sales pipeline and opportunity tracker.</li><li>Maintain accurate sales forecasts and monthly reporting.</li><li>Track sales and profitability against budget and prior-year performance.</li><li>Monitor opportunity conversion and pipeline development.</li><li>Identify underperformance and implement corrective actions.</li><li>Work closely with customers and internal teams on demand forecasting.</li><li>Maintain accurate customer and opportunity information within CRM systems.</li></ul> Cross-Functional Collaboration <ul><li>Work closely with supply chain, customer service, technical and other internal teams.</li><li>Coordinate customer requirements through the relevant internal support functions.</li><li>Share market and customer knowledge with regional colleagues.</li><li>Support regional and global sales initiatives.</li></ul> Requirements: Essential Experience <ul><li>Bachelors degree, preferably in Business, Marketing, Finance or a related discipline.</li><li>Approximately 8–10 years of relevant B2B account management / technical sales experience.</li><li>Proven experience in a technical, solution-based or industrial B2B sales environment.</li><li>Demonstrated record of new business development and revenue growth.</li><li>Experience managing complex customer relationships and sales processes.</li><li>Strong understanding of sales, supply chain and customer-service processes.</li><li>Willingness to travel frequently internationally.</li></ul> Preferred Industry Experience Experience in one or more of the following would be particularly relevant: <ul><li>Tobacco / nicotine</li><li>Cigarette manufacturing</li><li>Tobacco-related materials</li><li>Filters</li><li>Packaging</li><li>Paper / specialty paper</li><li>Industrial components</li><li>Machinery / equipment</li><li>Other technical B2B industries</li><li>Skills &amp; Attributes</li><li>Strong commercial and analytical capability.</li><li>Excellent presentation and communication skills.</li><li>Strong relationship-building and influencing ability.</li><li>Self-motivated and entrepreneurial.</li><li>Comfortable developing new markets and customers.</li><li>Strong attention to detail and prioritisation skills.</li><li>Ability to manage multiple opportunities simultaneously.</li><li>Strategic and creative approach to business development.</li><li>Comfortable operating with limited market data and using customer/market intelligence to identify opportunities.</li><li>Strong customer orientation and commercial judgement.</li></ul> Languages: <ul><li>Fluent Portuguese and English required.</li><li>Spanish is an advantage.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: Disruptive Pathfinding &amp; Technology Development <ul><li>Drive long-range (N+2 and beyond) pathfinding exploration in advanced packaging, identifying key inflection points in interconnect scaling, materials, and integration architectures.</li><li>Lead hands-on development and feasibility studies for novel packaging concepts, including but not limited to D2W, RDL, CoWoS, TSV, and heterogeneous integration schemes.</li><li>Develop and validate new integration approaches (e.g., mixed interconnect architectures, advanced bumping strategies, next-gen substrates).</li><li>Perform deep technical analysis and trade-off assessments to guide design, process integration, and technology selection decisions.</li><li>Contribute to make/buy/partner evaluations through technical insights and benchmarking of emerging solutions.</li></ul> Technical Innovation &amp; Execution <ul><li>Own key technical modules or integration challenges within pathfinding programs, driving concept-to-demonstration execution.</li><li>Design and execute experiments, simulations, and test vehicles to validate new ideas and reduce technical risk.</li><li>Develop scaling frameworks and design–process co-optimization strategies to meet future performance, cost, and reliability requirements.</li><li>Translate innovative concepts into clear technical deliverables, including models, prototypes, and demonstration vehicles.</li><li>Document and communicate findings to influence technology roadmap decisions and downstream development programs.</li></ul> Customer &amp; Market Alignment <ul><li>Engage with internal and external stakeholders to translate customer requirements and system trends (AI, HPC, memory integration, chiplets) into actionable technical problems.</li><li>Identify latent technical challenges and gaps in current packaging approaches and propose novel solutions.</li><li>Contribute to value proposition development by linking technical innovation to performance, cost, and scalability benefits.</li></ul> Ecosystem Collaboration <ul><li>Work closely with materials suppliers, equipment teams, OSATs, foundries, and research partners to co-develop and validate new technologies.</li><li>Support joint development efforts and early-stage collaborations, contributing technical expertise and insights.</li><li>Leverage ecosystem capabilities to accelerate learning cycles and de-risk new concepts.</li></ul> Program Contribution &amp; Technical Leadership <ul><li>Contribute to early-stage governance and decision frameworks by providing data-driven technical recommendations.</li><li>Influence cross-functional teams (process, product, integration) to align on technology direction and development priorities.</li><li>Develop executive-ready technical narratives that clearly articulate innovation value, risks, and trade-offs.</li><li>Mentor junior engineers and contribute to building technical depth and innovation culture within the team.</li></ul> Leadership Expectations <ul><li>Deep Technical Expert: Recognized for strong domain expertise in advanced packaging and integration.</li><li>Innovation Driver: Generates and executes breakthrough ideas with measurable technical impact.</li><li>Influencer: Drives alignment and decisions across teams without formal authority.</li><li>Problem Solver: Thrives in ambiguity, breaking down complex challenges into actionable solutions.</li><li>Collaborator: Effectively works across organizational and ecosystem boundaries.</li></ul> Requirements: <ul><li>10–15+ years of experience in semiconductor technology, with strong exposure to advanced packaging, process integration, or related domains.</li><li>Demonstrated experience in technology development, pathfinding, or exploratory R&amp;D.</li><li>Strong understanding of advanced packaging technologies (RDL, TSV, CoWoS, hybrid bonding, etc.).</li><li>Proven ability to solve complex technical problems and translate concepts into experimental validation.</li><li>Strong communication skills to articulate technical insights and business relevance.</li></ul>

Responsibilities: <ul><li>Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.&nbsp;</li><li>Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.&nbsp;</li><li>Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.&nbsp;</li><li>To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.&nbsp;</li><li>Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.&nbsp;</li><li>Define and estimate technical solutions, document technical approach options and recommendations.</li></ul> Requirements: <ul><li>PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)&nbsp;</li><li>B. Tech. / B.E. with exceptional academic/professional background&nbsp;</li><li>Image Processing, Pattern Recognition, Computer Vision&nbsp;</li><li>Machine Learning, Deep Learning&nbsp;</li><li>Experience with Medical Image Processing is an added advantage&nbsp;</li><li>Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms&nbsp;</li><li>Strong programming knowledge in Pytorch, Tensorflow&nbsp;</li><li>Hands-on experience in using Deep Learning frameworks and libraries&nbsp;</li><li>Concepts of parallel architecture on GPU is an added advantage</li><li>Should have 4+ years of experience in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Object Detection, Pytorch, Tensorflow</li></ul>

Responsibilities Target State Architecture and Convergence <ul><li>Define and maintain the target state architecture for cargo management systems across the global network, covering platform selection, consolidation, integration, and retirement</li><li>Produce a roadmap that sequences how regional systems (Cargospot, COSYS+, ePic) move toward an agreed target, with clear architectural rationale for each decision</li><li>Document and govern architecture decisions to ensure transparency, consistency, and auditability</li><li>Maintain a current-state map of the platform estate, including capability overlap, integration debt, and footprint reduction opportunities</li></ul> Integration, Connectivity, and Data Architecture <ul><li>Define integration standards and patterns for cargo systems, including airline connectivity (ONE Record, Cargo-XML, EDI), messaging, and API design</li><li>Set the data architecture for the cargo estate so that operational, customer, and commercial data flows are consistent and reusable across stations</li><li>Establish interoperability requirements between cargo management systems and adjacent platforms</li><li>Govern the technical aspects of customer-specific connectivity so that customer requests are met without fragmenting the core platform</li></ul> Change Order Validation and Cost Governance <ul><li>Review and validate every material change order raised against the cargo management systems are justified by the actual scope of work</li><li>Assess the technical complexity of each change order independently to challenge vendor proposals where required</li><li>Challenge inflated, padded, or over-scoped change orders, and provide documented technical rationale of its decisions</li><li>Distinguish change orders that reflect genuine new scope from those that should fall within existing contractual obligations or standard product, protecting the network from avoidable cost</li><li>Maintain a defensible record of change-order assessments so that platform spend is traceable and auditable, and patterns of vendor over-scoping are visible to leadership</li></ul> Standards, Governance, and Technical Authority <ul><li>Own the architectural standards that regional implementations are held against, and run the technical review of material platform changes</li><li>Provide architectural input into product governance</li><li>Ensure vendor solution designs align with target architecture or introduce avoidable lock-in</li><li>Partner with cybersecurity and enterprise architecture functions to ensure cargo platform architecture meets security, audit, and regulatory requirements</li></ul> Delivery Partnership and Advisory <ul><li>Act as the senior technical advisor to the Digital Product Management function, translating strategic direction into an executable systems blueprint</li><li>Support platform evaluations and proofs of concept with rigorous technical assessment</li><li>Provide architectural guidance to regional technology teams during implementation, migration, and cutover</li><li>Communicate architecture clearly and plainly to non-technical leadership; state platform status honestly as live, in build, in pilot, or proposed</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Systems, or related discipline required; postgraduate qualification preferred</li><li>Recognised enterprise architecture certification valued: TOGAF 9.2 or equivalent</li><li>Cargo Systems Domain (required): Deep, hands-on knowledge of cargo management systems and the cargo handling business is essential and non-negotiable for this role; ideally across more than one of Cargospot, COSYS+, or ePic, with a clear understanding of how these systems are used at station level in export, import, and special-handling flows.</li><li>This knowledge is the basis on which the role validates change orders and holds the architectural line</li><li>Change Order and Cost Assessment: Demonstrated ability to assess vendor change orders on cost, man-hour estimate, and technical complexity, and to challenge estimates that are not justified by the work; able to translate a technical scope into a defensible commercial judgement</li><li>Solution and Systems Architecture: 10 or more years in technology delivery with a minimum 5 years in a solution or systems architecture role for enterprise operational platforms</li><li>Integration and Connectivity: Strong practical experience with integration architecture, API design, and airline connectivity standards (ONE Record, Cargo-XML, EDI, IATA messaging)</li><li>Platform Convergence: Demonstrated experience consolidating or rationalising a multi-system estate, including migration sequencing and footprint reduction</li><li>Vendor Engagement: Proven experience evaluating and challenging platform vendors on architecture, integration, and total cost</li><li>Cross-Regional Delivery: Experience operating across APAC, EMEA, and Americas with the cultural fluency to navigate regional system ownership and variation</li><li>Sector Experience: Aviation, cargo, logistics, or other 24/7/365 operational environment strongly preferred</li></ul>

Responsibilities: HC Digital Strategy &amp; Business Partnership <ul><li>Act as the HC technology lead, engaging directly with HC senior leadership to define and sustain the HC digital vision and roadmap</li><li>Lead the strategic transformation from fragmented regional HC platforms to a unified Group-level solution</li><li>Advise HC executives on platform strategy, vendor alternatives, AI adoption, and investment trade offs</li></ul> Product &amp; Portfolio Leadership <ul><li>Lead, coach, and supervise HC Product Managers, ensuring clarity of accountability and consistent delivery</li><li>Oversee HC products including SAP SuccessFactors, all related regional tenants, and any additional HC Corporate Systems or Centres of Expertise</li><li>Ensure functional coverage of key HC modules, including - Core HR, Performance &amp; Goals, Succession &amp; Talent, Learning Management (LMS), Compensation, Recruiting &amp; Onboarding, and Related integrations and data flows</li></ul> Technology &amp; Partner Selection <ul><li>Lead technology evaluation, vendor comparison, and partner selection activities for HC solutions</li><li>Ensure IT standards compliance in close coordination with Enterprise Architecture, Data, Integration, and Cybersecurity teams</li><li>Ensure selected solutions support scalability, compliance, and innovation (including AI capabilities)</li></ul> Implementation Orchestration &amp; Transformation Delivery <ul><li>Orchestrate complex HC transformation programs, including tenant consolidation, migrations, and phased rollouts</li><li>Coordinate Product Managers, PMO, system integrators, and vendors across regions</li><li>Actively manage interdependencies, risks, and critical milestones</li><li>Step into direct delivery or leadership roles when program complexity or resourcing requires it</li></ul> AI, Innovation &amp; Capability Enablement <ul><li>Drive adoption of AI capabilities across key HC processes, including (but not limited to): Talent identification and skills intelligence, Learning personalisation, Workforce insights and predictive analytics, and Recruitment screening and experience enhancement</li><li>Ensure responsible, secure, and value-driven use of AI, aligned with Group data and ethics principles</li></ul> Governance &amp; Standards Compliance <ul><li>Ensure all HC solutions comply with Group Enterprise Architecture, Cybersecurity and data protection, and Integration and interoperability standards</li><li>Act as a key governance authority for HC design decisions in coordination with Group Design Authorities</li></ul> Operational Oversight &amp; Evolution <ul><li>Define and oversee HC operating models, including ownership, support, and escalation paths</li><li>Support Product Managers in structuring support models, release management, and vendor governance</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Information Technology, Business, Human Resources, or a related field.</li><li>Certifications in HR platforms, enterprise architecture, program management, or AI/data are advantageous.</li><li>Senior experience leading Human Capital technology transformations, preferably with SAP SuccessFactors in multi tenant or multi region environments. 3-5 years.</li><li>Additional expertise and experience in market HC technology references as Workday is also an asset.</li><li>Demonstrated experience managing or consolidating large HC landscapes (Core HR, Talent, Learning, Compensation, Recruiting).</li><li>Proven ability to evaluate and compare HC platforms (e.g. SuccessFactors vs Workday).</li><li>Strong understanding of AI applications in HC and digital workforce enablement.</li><li>Experience leading teams of Product Managers or Solution Owners in global organisations.</li><li>Solid understanding of enterprise architecture, integrations, data governance, and cybersecurity in HC systems.</li><li>Ability to operate credibly at both strategic and execution levels</li></ul>

Responsibilities: Application Development: <ul><li>Design, develop, test, deploy, and support web applications using Angular/AngularJS, Python, and modern full stack technologies.</li><li>Build responsive, high-performing, and user-friendly web interfaces.</li><li>Develop and maintain backend services, business logic, RESTful APIs, and system integrations.</li><li>Integrate applications with databases, enterprise platforms, and third-party systems.&nbsp;</li></ul> Solution Design: <ul><li>Analyze business and functional requirements and translate them into technical solutions.</li><li>Prepare technical designs, system workflows, and application specifications.</li><li>Contribute to technical design discussions and recommend scalable, maintainable solutions aligned with established architecture standards.</li><li>Support the evaluation and selection of appropriate technologies and development approaches.</li></ul> System Integration &amp; Database Management: <ul><li>Develop and maintain secure REST APIs and system integrations.</li><li>Design, optimize, and support relational databases and SQL queries.</li><li>Ensure secure, accurate, and reliable data processing across applications.</li><li>Monitor and optimize application, API, and database performance.</li></ul> Quality Assurance &amp; Testing: <ul><li>Develop and execute unit tests, integration tests, and defect resolution activities.</li><li>Participate in code reviews and quality improvement initiatives.</li><li>Support user acceptance testing, release validation, and production deployments.</li><li>Contribute to automated testing and continuous integration practices where applicable.</li></ul> Application Support &amp; Continuous Improvement: <ul><li>Troubleshoot application issues and provide timely resolution of incidents and defects.</li><li>Monitor application performance, availability, and operational health.</li><li>Perform root cause analysis and implement sustainable solutions to prevent recurring issues.</li><li>Identify opportunities to improve application functionality, performance, maintainability, and user experience.</li></ul> Agile Delivery &amp; Collaboration: <ul><li>Participate in backlog refinement, sprint planning, daily stand-ups, reviews, and retrospectives.</li><li>Collaborate with Business Analysts, Product Owners, Project Managers, and cross-functional technical teams.</li><li>Provide effort estimates and technical input to support project planning and delivery commitments.</li><li>Communicate progress, risks, dependencies, and technical recommendations to stakeholders.</li></ul> Security &amp; Development Standards: <ul><li>Follow secure software development practices and organizational security requirements.</li><li>Ensure applications comply with data privacy, security, audit, and compliance standards.</li><li>Adhere to coding standards, code review processes, and development best practices.</li><li>Support vulnerability remediation and application security improvements.</li></ul> Documentation &amp; Compliance; <ul><li>Maintain technical documentation, support guides, and system specifications.</li><li>Document application configurations, enhancements, integrations, and support procedures.</li><li>Ensure solutions are developed in accordance with organizational policies, standards, and governance requirements.</li></ul> Requirements: <ul><li>3+ years of software development experience, with strong hands-on expertise in Angular or AngularJS for web application development.</li><li>Strong experience in API development and integration, with the ability to develop, consume, test, and troubleshoot RESTful APIs.</li><li>Good working knowledge of JavaScript, TypeScript, HTML5, and CSS3, with a solid understanding of modern web application development practices.</li><li>Hands-on experience with SQL and relational databases, preferably SQL Server, PostgreSQL, or MySQL, including database queries and data handling.</li><li>Proficiency with Git/version control and good understanding of software development lifecycle, debugging, testing, and collaboration with cross-functional development teams.</li><li>Experience with Python development for backend services</li></ul>

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84 learning solution Jobs found

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Sales Manager

Machine Learning Engineer Lead

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

AI / ML Engineer

Solution Architect, Cargo Management Systems

AVP - Group Human Capital Solution Architect

Application Developer - Fullstack Developer

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Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Sales Manager

Machine Learning Engineer Lead

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

AI / ML Engineer

Solution Architect, Cargo Management Systems

AVP - Group Human Capital Solution Architect

Application Developer - Fullstack Developer

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