Manager - Hire to Retire

Manager - Training

AVP/VP, Software Engineer, Technology Group

Manager - Marketing - Retail

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Regional Manager – South India

AI Transformation Engineer

Role Description:&nbsp; <ul><li>The Manager, Hire to Retire Process Transformation is responsible for leading the day-to-day delivery of transformation projects and workstreams across the Hire-to-Retire lifecycle within Human Capital Services.&nbsp;</li><li>Reporting to the Associate Director, the role translates the transformation agenda into executable plans, standardized processes, and digital-enabled solutions, working hands-on across process design, system configuration, data, and change.</li><li>It combines strong project delivery discipline with practical HC process and technology expertise to move Group Services towards a best-in-class shared services operating model.&nbsp;</li><li>The role is a key delivery partner to the Associate Director and to vertical HR teams, ensuring initiatives are delivered on time, on budget, and to the intended quality, while coordinating junior team members and third-party resources.&nbsp;</li></ul> Responsibilities:&nbsp; 1. Transformation Project &amp; Workstream Delivery&nbsp; <ul><li>Lead the planning, delivery, and reporting of assigned transformation projects and workstreams across the entire Hire-to-Retire lifecycle; managing scope, timelines, budgets, risks, and issues.&nbsp;</li><li>Develop and maintain project plans, delivery artefacts, and status reporting for the Associate Director and governance forums.&nbsp;</li><li>Coordinate project stakeholders, cross-functional contributors, and vendor resources to deliver against agreed milestones.&nbsp;</li></ul> 2. Process Standardization &amp; Improvement&nbsp; <ul><li>Analyze current-state Hire-to-Retire processes across verticals and design standardized, simplified, and automated future-state processes.&nbsp;</li><li>Document process maps, standard operating procedures, and service definitions, embedding controls-by-design and data quality requirements.&nbsp;</li><li>Identify and quantify efficiency, experience, and control improvement opportunities to build the case for change.&nbsp;</li></ul> 3. Digital &amp; Technology Enablement&nbsp; <ul><li>Support the configuration, testing, and deployment of HR platforms (HCM, ATS, LMS, ServiceNow, workforce analytics) in partnership with Group IT and vendors.&nbsp;</li><li>Gather and document business requirements, translate them into functional specifications, and manage user acceptance testing.&nbsp;</li><li>Support the expansion of service management capabilities such as ticket taxonomy, SLAs, and self-service workflows.&nbsp;</li></ul> 4. Data, Analytics &amp; Insight&nbsp; <ul><li>Compile, validate, and analyze workforce and process data to support business cases, benchmarking, and decision-making.&nbsp;</li><li>Build clear, traceable analysis and reporting, including cost-to-serve, cycle time, volumes, and quality metrics.&nbsp;</li><li>Support the development of dashboards and management reporting that track transformation benefits and service performance.&nbsp;</li></ul> 5. Change Enablement &amp; Stakeholder Engagement&nbsp; <ul><li>Alongside our Change and Communications team, deliver change management activities for assigned initiatives, including stakeholder engagement, communications, training, and adoption support.&nbsp;</li><li>Run stakeholder interviews and workshops to capture pain points, requirements, and priorities across the Hire-to-Retire lifecycle.&nbsp;</li><li>Build strong working relationships with vertical HR teams and enabling functions to secure buy-in and sustained adoption.&nbsp;</li></ul> 6. Value Realization &amp; Continuous Improvement&nbsp; <ul><li>Track delivery against defined success metrics and support the realization and reporting of transformation benefits.&nbsp;</li><li>Capture lessons learned and embed a culture of continuous improvement and service excellence within Human Capital Services.&nbsp;</li><li>Contribute to the ongoing development of transformation standards, tools, and delivery methodology.&nbsp;</li></ul> Requirements: Qualifications &amp; Experience&nbsp; <ul><li>Bachelors or Masters degree in HR, Business, Information Systems, or a related discipline.&nbsp;</li><li>6 to 10 years experience in HR transformation, HR shared services, consulting, or enterprise HC operations.&nbsp;</li><li>Proven experience delivering process and technology change within complex, multi-entity organizations.&nbsp;</li><li>Practical experience with HR technology ecosystems (for example HCM, ATS, LMS, and ServiceNow) and workforce data and analytics.&nbsp;</li><li>Exposure to AI-enabled solutions within the Human Capital services domain is an advantage.&nbsp;</li><li>Recognized project management or process improvement certification (for example PMP, PRINCE2, Agile, or Lean Six Sigma) is desirable.&nbsp;</li></ul> Key Competencies&nbsp; <ul><li>Project and workstream delivery.&nbsp;</li><li>End-to-end HC process design and improvement.&nbsp;</li><li>HR technology enablement and requirements management.&nbsp;</li><li>Workforce data analysis and reporting.&nbsp;</li><li>Stakeholder engagement and change enablement.&nbsp;</li><li>Structured problem-solving and attention to detail.&nbsp;</li><li>Commercial and value-oriented mindset.&nbsp;</li></ul>

Responsibilities: <ul><li>The job holder will be responsible to design, develop, deliver and administer training programs that enhance employee knowledge, skills, behaviours, and performance to support the company attain its strategic objectives.</li><li>Develop and implement comprehensive Training intervention programs that aligns with Talent Management strategy and overall development of the employees to address specific skill gaps.</li><li>Conduct needs assessment to identify skill gaps and training needs and create training programs that are designed to effectively improve performance and productivity of employees.</li><li>Plan the annual training calendar and delivery of Internal/ External trainings and development programs by rolling out suitable training programs that enhance employees’ skills and performance, increase productivity/ quality of work and meet the identified needs in alignment with the organizations values and culture.</li><li>Facilitate training and awareness sessions/ workshops for employees and leaders and maintain close communication with all to discuss training needs, training methodologies and solutions to ensure that they are fully aware of training opportunities available.</li><li>Deliver training sessions, workshops, and seminars to employees, ensuring content is engaging, relevant, and interactive.</li><li>Develop and manage the training budget to ensure that the best quality of trainings are provided within the established budget and ensure that resources are allocated effectively across all levels of the organization.</li><li>Identify and partner with external vendors to source training content and solutions as needed and measure performance to ensure that the organizations learning and development programs have access to the best training content and solutions available in the market.</li><li>Provide coaching and support to managers and leaders to help them develop their teams and support employee development.</li><li>Conduct post-training surveys to measure training program and vendor effectiveness and relevancy along with individual retention and adoption of learnings.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business Administration with Major’s in Human Resources; Master’s degree- preferred</li><li>Professional certification in Assessment and Learning and/or CIPD in Learning and Development (level 3 or 5)- preferred</li><li>Certified Coach or Certified NLP (Neuro-Linguistic Programming) practitioner - preferred</li></ul>

Responsibilities: <ul><li>Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive our success</li><li>Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward</li><li>Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give us a competitive edge in the industry</li><li>Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence</li><li>Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables</li><li>Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems</li><li>Stay Ahead: Continuously explore and integrate emerging technologies to keep our solutions at the forefront of innovation&nbsp;</li></ul> Requirements: <ul><li>At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support</li><li>Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development</li><li>Hands-on technical skills and good competency in Java and related frameworks such as Spring or Hibernate</li><li>Strong experience with Java / C# Dot Net / Typescript / Python</li><li>Preferred experience in relevant domains, including but not limited to the financial sector, such as SaaS integrations, enabling a deep understanding of industry-specific challenges and solutions</li><li>Familiarity with cloud platforms like AWS or Azure and containerisation technologies like Docker and Kubernetes</li><li>Strong team player who is keen to learn, independent, and possesses strong analytical, problem-solving, communication, and interpersonal skills</li><li>Passionate about understanding business requirements and using technology to transform or improve current state</li><li>Familiar with and interested in learning about current and emerging technology landscapes</li><li>Bachelor’s or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous</li><li>Ability to adapt to a dynamic environment and demonstrate strong prioritisation skills</li><li>Experience leading engineering teams and/or mentoring junior software engineers is advantageous, especially for VP candidates&nbsp;</li></ul>

Responsibilities: <ul><li>Support Senior Manager in developing annual marketing strategies and mall-level plans.</li><li>Assist with market positioning, competitive analysis, and customer segmentation.</li><li>Align with internal business units on marketing direction.</li><li>Assist in delivering annual integrated 360° campaigns.</li><li>Coordinate with Strategy and Leasing teams.</li><li>Implement strategies to enhance customer loyalty and revenue.</li><li>Prepare campaign briefs and scopes of work.</li><li>Manage execution of approved campaigns.</li><li>Identify partnership opportunities</li><li>Support development of event concepts and activations.</li><li>Coordinate with operations, mall teams, and agencies for event execution.</li><li>Ensure branding and setup consistency.</li><li>Oversee preparation of marketing collateral.</li><li>Support in securing authority approvals.</li><li>Assist in evaluating sponsorships.</li><li>Ensure events are promoted across all channels.</li></ul> Requirements: <ul><li>Bachelor’s degree required; Master’s preferred</li><li>Experience:-5–7 years marketing experience, ideally GCC.</li><li>Experience in mall marketing, PR, events, digital, or agencies.</li><li>Strong understanding of multi-channel marketing.</li><li>Knowledge of digital tools and analytics.</li><li>Strong creative and project management skills.</li><li>Strong communication skills.</li></ul>

Responsibilities: Strategy, Framework &amp; Policy Architecture <ul><li>Define Group-wide Data &amp; AI Governance strategy, framework, operating model and roadmap, aligned to business strategy and AI ambitions</li><li>Author and maintain the Groups policy architecture - policies, standards, guidelines and procedures</li><li>Provide oversight, challenge and monitoring of adherence to policies and standards</li><li>Lead the continuous-improvement agenda for governance maturity through targets and metrics</li></ul> Governance Operating Model &amp; Stewardship <ul><li>Establish the governance model: define decision rights (RACI), and Data Owners and Stewardship roles across the business units</li><li>Translate governance topics into business-relevant insights for the relevant audiences.</li></ul> Data Governance, Catalogue &amp; Metadata Standards <ul><li>Set Group standards for data ownership, critical data elements, business glossary, metadata, data classification and dataset certification</li><li>Mandate data contracts on critical datasets and lineage coverage, embedding governance checks into the delivery lifecycle</li><li>Own the access governance standard and govern access to data, balancing innovation with appropriate controls</li></ul> Data Quality Management <ul><li>Own the Group data quality policy and standard - quality dimensions, rule libraries, thresholds and SLAs</li><li>Oversee the data quality operating loop, per-domain scorecards, remediation to SLA and owner-accountability reporting</li><li>Set the dataset certification regime before business use</li></ul> Data Protection, Sharing &amp; Retention <ul><li>Partner with Cybersecurity and Data Protection Office to develop and maintain the data protection framework and policies</li><li>Oversee data-sharing, retention and disposal practices across various stakeholders</li><li>Collaborate with Legal, Privacy and Compliance to ensure data compliance across jurisdictions</li><li>Manage and escalate data protection risks, tracking mitigations to closure</li></ul> Master Data Management <ul><li>Serve as design authority for master data capability, to centralize and manage master and reference data efficiently</li><li>Broker and secure ratification of master data design decisions across systems and stakeholders</li><li>Drive change management, adoption, integration and scaling of the MDM platform across the organization</li></ul> Regulatory Compliance, Risk &amp; Assurance <ul><li>Conduct regulatory horizon scanning across the jurisdictions where company operate, re-baselining policies, controls and plans as laws and standards evolve</li><li>Lead Group-wide Key Risk and Control Self-Assessment initiatives for Data and AI, and coordinate data and AI audits, compliance reviews and inspections</li></ul> Leadership, Reporting &amp; Culture <ul><li>Own the governance KPI metrics, dashboards, and reporting for executive stakeholders</li><li>Serve as the senior liaison between business units and technology on governance requirements</li><li>Be an agent of change inculcating data and AI governance culture and discipline across the organisation</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Management, Data/Analytics, Engineering, Law, or a related discipline; a relevant postgraduate qualification is an advantage.</li><li>Ongoing commitment to training and professional development.</li><li>At least 8 years of working experience in data management, including 5 or more years leading Data Governance, Data Quality or Master Data Management programmes in multi-entity or regulated organisations.</li><li>Extensive knowledge of data and AI regulatory, standards, and compliance requirements.</li><li>Experience in AI or model governance, model risk management or responsible-AI programmes, including generative AI; exposure to agentic AI governance is an advantage.</li><li>Proven track record standing up or transforming a governance function and operating model.</li><li>Good understanding of risk management and compliance frameworks and related disciplines such as risk and control self-assessment.</li><li>Experience in designing and delivering a Master Data Management capability.</li><li>Strong hands-on technical fluency: proficient in SQL with working Python; credible with modern data catalogues (e.g. DataHub, Microsoft Purview), data quality frameworks, data contracts and lineage, policy-as-code access models and Git / pull-request-based delivery.</li><li>Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or Certified Information Systems Auditor (CISA) are strongly preferred.</li><li>Excellent written and oral communication; skilled at authoring policies, standards, guidelines and executive materials that business and engineering teams can act on.</li></ul>

Responsibilities: <ul><li>Supporting the Group Head, Tax to manage the tax risk of the Group on a global basis. This includes progressively rolling out the Group’s Tax Risk and Governance Framework from HQ to overseas subsidiaries, assessing their tax risk profile, identifying, mitigating and rectifying tax risk.&nbsp;</li><li>Responsible for developing processes and framework to comply with changes in tax/regulatory requirements such as country by country reporting and BEPS 2.0 compliance requirements.&nbsp;</li><li>Review tax processes and implementation of automation solutions, where appropriate, to capture appropriate data for tax reporting.&nbsp;</li><li>Analysis of Budget announcement and providing a summary and changes and impact analysis for dissemination to senior management and various affected business units.</li><li>Business Partnering: Tax advisory, planning and structuring, transfer pricing analysis and documentation, provide internal training, tax planning and structuring for M&amp;A projects, identifying opportunities for optimization, etc. Managing the tax issues on transactions including key finance and commercial initiatives, funding and repatriation, structuring and simplification.</li><li>Compliance: ensure compliance for all direct and indirect taxes (GST/VAT, duties, WHT, etc), including the implementation of daily transaction checks and analysis within the current Tax Risk &amp; Governance Framework. Review corporate tax, GST and withholding tax calculations and ensure timely tax filings for the entities within the Group.</li><li>Proactively prepare and document advice on tax filing positions, audits and rulings. Partner with the entities in the Group to ensure compliance with the company’s tax policies and business models, and liaising with external tax consultants, where necessary.&nbsp;</li><li>Manage tax audits and investigations of entities within the Group.</li><li>Any other ad-hoc duties as assigned.</li></ul> Requirements: <ul><li>Degree in Accounting related academics, with a major in taxation. Accredited Tax Advisor (Income Tax);</li><li>Minimum 10 years of relevant working experience in the Big 4, OR in both Big 4 and a global corporate organization;</li><li>Excellent understanding of the key principles and practices of direct and indirect taxes across the Asia Pacific region;</li><li>Excellent understanding of international tax principles including inbound and outbound structuring issues, funding and repatriation strategies and transfer pricing considerations;</li><li>Excellent understanding of tax reporting and experience in managing tax audits and investigations;</li><li>Ability to manage multiple projects and excel under pressure and tight timelines;</li><li>Self-starter, pro-active sole contributor and strong team player with the ability to lead and coach regional/global finance accountants/teams;</li><li>Able to influence, engage and build strong relationships &amp; trust at all levels;</li><li>Excellent judgment, people and communication skills</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Role Description: <ul><li>Automotive Industry offers products for vehicle electrification systems like chassis systems, convenience applications, driver information, infotainment solutions, miniaturization solutions, motor and powertrain applications etc.&nbsp;</li><li>The client Automotive BU is focused on developing new and improved vehicle architecture approaches to efficiently address these challenges in Connectivity from power to propulsion and safety.&nbsp;</li><li>The Manager R&amp;D Product development contributes to the development of organizational strategy and supports in implementation of operational plans.</li><li>Being part of Product development team responsible to develop for new products and sustenance of existing product lines of Automotive business unit of client.</li><li>This position drives development of PCB connectors for automotive applications including Board to Board, Wire to Board and Flex to Board connectors.</li></ul> Responsibilities: <ul><li>Managing experienced professional and/or supervisors who exercise independence in their assignments and providing them with the required guidance and also be a strong technical contributor.</li><li>Providing strategic leadership to foster growth of the business.</li><li>Interacting and cooperating with multiple organizational levels to meet schedule and technical expectations.</li><li>Administrating schedules and ensuring performance requirements.</li><li>Providing knowledge of engineering tools such as Creo, etc. and product domain expertise in multiple projects.</li><li>Assist Inside Device Connectivity (InDeCo) engineering teams with New Product Developments across a range of projects and executing on cost optimization/reduction (VA/VE) opportunities for the business.</li><li>Preparing design verification test plans, Design &amp; Process FMEAs.</li><li>Successfully facilitate transfer and support of new product introduction (NPI) into high volume manufacturing.</li><li>Contributing to technical function initiatives across various initiatives.</li><li>Reverse Engineering and benchmarking of competitor products.</li><li>Support product environmental compliance and approvals for all new products and platforms as required by our customers.</li><li>Be a strong technical partner and provide support to Product management teams.</li><li>Attend/support customer meetings, technology days and site visits as required.</li></ul> Requirements: <ul><li>Master’s degree in mechanical engineering or equivalent is preferred with minimum 8 years of experience in related fields.</li><li>Mechanical or equivalent engineering Degree with minimum 10 years of related product development experience.&nbsp;</li><li>Experience with product design of PCB Connector such as Board to Board, Flex to Board, Wire to Board is essential.</li><li>Knowledge in product design of plastic, terminals (sheet metal), fine pitch connectors, rubber components.</li><li>Working knowledge of driving diversity and inclusion, customer/market focus, result orientation, managing multiple priorities, envisioning the future, coaching and developing people and collaborating across boundaries</li><li>Extensive experience executing plans in a disciplined way and in holding people accountable.</li><li>Organized, methodical and self-motivated individual.</li><li>A person with the ability to achieve goals and the highest standards of performance in a dynamic fast paced environment.</li><li>Attention to detail and on time delivery.</li><li>Excellent judgment, timely and high-quality decision-making skills.</li><li>Proven ability to execute engineering deliverables.</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives.</li><li>Fluent communication skills facilitate collaboration with own team, customers, internal business leaders and technology leaders to create value.</li><li>Individual must be self-motivated, have strong planning skills and be able to deal with and balance multiple competing priorities.</li></ul> Functional: Mandatory: <ul><li>Working knowledge of product development (Processes, Approaches, Tools and Techniques) &amp; Validation</li><li>Working knowledge of manufacturing processes like injection Mold, plating, assembly &amp; High-speed stamping</li><li>Working knowledge to apply Six Sigma / DFSS methodology to design, development, and delivery of technology products and process.</li><li>Working knowledge in use of CAD systems (CREO Part modeling &amp; Sheet Metal)</li><li>Interpretation of simulation results &amp; translating into product design</li><li>Working knowledge in Design for Manufacturability (DFM) &amp; FMEA&nbsp;</li><li>Proficient in Tolerance stack-up and GD&amp;T</li><li>Ability to generate design concepts and solve design problems&nbsp;</li><li>Working knowledge in prototyping methods</li><li>Working knowledge in Manufacturing process (Molding / Stamping / Plating)</li><li>Understanding of linear and non-linear analysis</li><li>Working knowledge of product life cycle.</li><li>Basic Knowledge in quality tools (8D, Why Why analysis, Fish bone….)</li><li>Awareness of recognition &amp; protection of IP (intellectual property) features</li><li>Basic knowledge of PPAP documentation.</li></ul> Preferred: <ul><li>Knowledge of customer application&nbsp;</li><li>Experience in development of automotive signal and power connectors.</li></ul> Department specific: <ul><li>Exposure to PCB Connector design</li><li>Ability to understand specifications for validation as per US CAR / LV 214 / Similar Specification</li><li>Knowledge about crimping technologies, Ultrasonic welding technologies, Laser welding technologies</li></ul>

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>

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190 commissioning and adoption manager Jobs found

Manager - Hire to Retire

Manager - Training

AVP/VP, Software Engineer, Technology Group

Manager - Marketing - Retail

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Regional Manager – South India

AI Transformation Engineer

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190 commissioning and adoption manager Jobs found

Manager - Hire to Retire

Manager - Training

AVP/VP, Software Engineer, Technology Group

Manager - Marketing - Retail

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Regional Manager – South India

AI Transformation Engineer

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