Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Global Director FP&A

Forward Deployed AI Strategist

Sales Operation Analyst

Staff / Senior Engineer Electrical Facility Engineer)

Engineer, Senior (Process Development -Microacoustics Lithography)

Supplier Compliance & Rick Program Analyst

AMEA GBS Operational Excellence Lead

Software Engineer AI

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsiblities: <ul><li>Design Quality Assurance: Organize and facilitate Design Reviews (DR) and DFMEA sessions to ensure robust product design and risk mitigation.</li><li>Prototype &amp; Sample Build Quality: Implement quality planning and controls for prototype/sample builds, including documentation and build record management.</li><li>Measurement System Validation: Conduct Measurement System Analysis (MSA) for inspection systems and gages used in the project.</li><li>Development Stage Quality Oversight: Analyze samples, address quality issues, and drive improvement actions during product development.</li><li>Verification &amp; Qualification: Lead design verification activities prior to design freeze and manage product qualification testing before Gate 5.</li><li>Tool &amp; Process Validation: Perform process capability studies and support Final Tool Approval (FTAR) using Comprehensive Tool Approval Reports (CTAR).</li><li>Production Quality Control: Establish and maintain quality controls and documentation for the production shop floor.</li><li>Ongoing Quality Monitoring: Monitor process capability and manage corrective actions to ensure sustained quality performance.</li><li>Inspection Review: Review and approve measurement and cosmetic inspection results to ensure compliance with specifications.</li><li>Audit Support: Provide support during customer and internal/external quality system audits.</li><li>Lead the development and implementation of Advanced Quality Planning (AQP) tools and methodologies within cross-functional product development teams.</li><li>Manage and mitigate project risks, ensuring customer requirements are clearly understood and integrated from the outset.</li><li>Conduct design and process audits for NPI projects, ensuring compliance with internal and external standards.</li><li>Collaborate closely with manufacturing sites to ensure seamless transition from design to production, including training facilitation and sharing of best practices and lessons learned.</li><li>Support customer complaint investigations during NPI, including documentation collection, in-process record review, and postmortem analysis.</li><li>Ensure effective deployment of control plans and support supplier development and management to meet quality expectations for NPI shipments.</li></ul> Requirements: <ul><li>Bachelor’s degree or higher in Electrical, Mechanical Engineering, or a related field.</li><li>Min 4 years experience in advanced quality</li><li>Proven quality control experience in cable assemblies, connectors, sockets, or related industries.</li><li>Strong understanding of ISO 9001 and APQP procedures.</li><li>Familiarity with EIA-364 test methods and internal/external auditing practices.</li><li>Knowledge of Model-Based Definition (MBD) and GD&amp;T requirements.</li><li>Proficient in Root Cause Analysis (8D, Fishbone, 5 Whys).</li><li>Skilled in Risk Management (DFMEA/PFMEA), Process Capability (Cp, Cpk, Pp, Ppk), and Tolerance Stack-Up Analysis.</li><li>Experienced in Design of Experiments (DOE) and Six Sigma methodologies (Black Belt preferred).</li><li>Competent in data analytics and visualization tools (Power BI, Tableau, Python/R).</li><li>Skilled in statistical software such as Minitab and JMP.</li><li>Strong organizational and strategic planning abilities.</li><li>Effective communicator with excellent written and verbal English skills.</li><li>Ability to mentor junior engineers and lead cross-functional teams.</li><li>Demonstrated capability in change management and driving continuous improvement.</li><li>Strong interpersonal skills for conflict resolution and stakeholder negotiation.</li><li>Committed to delivering high-quality solutions aligned with customer expectations and business strategy.</li></ul>

Role Description: <ul><li>We are partnering with a leading global manufacturing organization to appoint a Global Director, Financial Planning &amp; Analysis (FP&amp;A).</li><li>Reporting directly to the CFO, this is a strategic leadership role responsible for driving financial planning, business performance, commercial insights, and business intelligence across a global footprint.</li><li>The successful candidate will play a pivotal role in supporting executive decision-making, leading FP&amp;A activities, enhancing business intelligence capabilities, and partnering with senior leadership to drive sustainable business growth.</li></ul> Responsibilities: Financial Planning &amp; Performance Management <ul><li>Lead the Groups annual budgeting, forecasting, and long-term planning processes.</li><li>Develop robust financial models and scenario planning to support strategic decision-making.</li><li>Partner with senior leadership to establish financial objectives, KPIs, and multi-year operating plans.</li><li>Deliver timely, accurate and insightful financial analysis to support commercial and operational decision-making.</li><li>Monitor business performance and identify opportunities to improve profitability and operational efficiency.</li></ul> Executive Reporting &amp; Business Partnering <ul><li>Prepare executive-level financial reports and presentations for senior leadership, Board members, investors and lenders.</li><li>Lead monthly business performance reviews and provide actionable insights on financial performance, risks and opportunities.</li><li>Partner closely with Commercial, Operations, Supply Chain and other functional teams to support business performance and strategic initiatives.</li><li>Build strong cross-functional relationships and influence decision-making across the organisation.</li></ul> Strategic Projects <ul><li>Support key strategic initiatives including M&amp;A, investments and corporate development projects.</li><li>Conduct financial analysis and scenario modelling to support investment decisions.</li><li>Contribute to organisation-wide strategic planning and transformation initiatives.</li></ul> Business Intelligence &amp; Finance Transformation <ul><li>Lead the Business Intelligence function and drive improvements in reporting, analytics and data accessibility.</li><li>Champion automation, AI-enabled reporting and continuous improvement initiatives across Finance.</li><li>Partner with IT and business stakeholders to improve data governance, reporting capabilities and financial systems.</li><li>Drive the adoption and optimisation of SAP and integrated reporting platforms.</li></ul> Leadership <ul><li>Lead, coach and develop a high-performing team of Finance Business Partners and Business Intelligence professionals.</li><li>Foster a culture of collaboration, continuous improvement and data-driven decision-making.</li><li>Build organisational capability across financial analysis, business partnering and digital finance.</li></ul> Requirements: Essential Experience <ul><li>Professional Accounting qualification (ACA, ACCA, CPA, CIMA or equivalent).</li><li>Minimum 15 years of Finance experience with at least 10 years in senior leadership positions.</li><li>Demonstrated expertise in Financial Planning &amp; Analysis within a multinational organisation.</li><li>Strong background in manufacturing finance, including standard costing.</li><li>Experience leading regional or global finance teams.</li><li>Proven experience in executive-level business partnering and stakeholder management.</li><li>Exposure to Board reporting, investor presentations and executive financial reporting.</li><li>Experience driving strategic finance initiatives and organisational performance improvements.</li></ul> Preferred Experience <ul><li>Business Intelligence leadership experience.</li><li>Finance transformation and process improvement experience.</li><li>Exposure to M&amp;A, investments or corporate development activities.</li><li>Experience working with SAP and modern reporting platforms such as Power BI.</li><li>Experience leading data governance, reporting automation or AI-enabled finance initiatives.</li></ul> Skills &amp; Competencies <ul><li>Strong commercial and business acumen.</li><li>Exceptional analytical and problem-solving abilities.</li><li>Excellent communication and presentation skills.</li><li>Ability to influence and challenge senior stakeholders constructively.</li><li>Strategic mindset with the ability to translate complex financial information into actionable business insights.</li><li>Proven leadership capabilities with experience developing high-performing teams.</li><li>Strong project management and change management skills.</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Support performance analysis: Assist in conducting in-depth analysis across sales representatives, segments and territories.&nbsp;</li><li>You will help identify trends, pinpoint growth opportunities and diagnose execution gaps to support data-driven improvements.</li><li>Assist with compensation planning: Collaborate with sales operations, leadership and compensation teams.&nbsp;</li><li>You will help gather data and provide analysis for incentive and compensation plans that align with strategic goals and recognize high performance.</li><li>Contribute to quota planning: Support quota planning and development processes.&nbsp;</li><li>You will help with data reviews to ensure transparent and equitable business goals that reflect current market realities.</li><li>Maintain data hygiene: Assist in establishing and following protocols for data accuracy, consistency and security to support trustworthy decision-making across the commercial organization.</li><li>Provide dashboard and reporting support: Contribute to the design, build and maintenance of advanced dashboards and reports.&nbsp;</li><li>You will help ensure sales teams and senior leadership have access to actionable intelligence for business decisions.</li><li>Support market research efforts: Help conduct customer, market and competitor research.&nbsp;</li><li>You will assist in generating timely insights that guide commercial strategies and position company for long-term growth in a competitive market.</li><li>Assist with win/loss analysis: Help analyze deals won and lost to provide strategic insights on pricing.&nbsp;</li><li>You will support identifying drivers of sales outcomes and share recommendations for competitive approaches and sustainable growth.</li><li>Aid in forecast planning: Work with business leaders to support and improve sales forecast planning.&nbsp;</li><li>You will assist in integrating performance metrics, pipeline insights and external market trends to inform resource allocation.</li></ul> Requirements: <ul><li>Relevant educational background in data analytics, sales, revenue operations, marketing, finance, or a related field, including hands-on experience through coursework, projects, or internships.</li><li>Exceptional analytical skills with the ability to solve complex problems using clear and actionable data while translating into actionable business insights</li><li>Excellent communication skills, with the ability to clearly present data insights and recommendations to cross-functional teams and business leaders</li><li>Advanced Microsoft Excel skills, including experience with formulas, pivot tables, data modeling, and large dataset analysis</li><li>Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment</li><li>Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.</li></ul>

Responsibilities: Operate &amp; Maintenance: <ul><li>Leads safe, compliant operation and maintenance of electrical infrastructure, establishes and controls MOS/SOP with strong change management, maintains accurate technical documentation, partners with Engineering, Operations, and EHS on regulatory compliance, drives risk and safety programs (FMEA, LOTO, arc flash, permits), and ensures full standards compliance and audit readiness.</li></ul> Reliability &amp; Risk Management: <ul><li>Drives root cause analysis for electrical disturbances, leads predictive and preventive maintenance programs, and strengthens system reliability to minimize unplanned downtime.</li></ul> Capacity Planning &amp; Tool Install: <ul><li>Plans and manages electrical load models across fab and facilities operations, ensures proper feeder loading, redundancy, and diversity, and reviews/approves designs while overseeing safe energization and commissioning.</li></ul> Projects &amp; Commissioning: <ul><li>Define acceptance criteria, test protocols, and witness critical tests.</li><li>Manage vendor performance and ensure documentation close out (O&amp;Ms, as builts).</li></ul> Power Quality &amp; Energy Performance: <ul><li>Monitor PQ and deploy mitigations (filters, SEMI F47 ride through, UPS tuning).</li><li>Drive energy efficiency projects (e.g., transformer loading optimization, UPS efficiency, busway losses, smart metering analytics).</li></ul> Requirements: <ul><li>At least a Bachelor’s degree in Electrical Engineering or equivalent.</li><li>Minimum 6 years of related work experience in Electrical Engineering within wafer fab/semiconductor</li><li>Experience in high volume manufacturing of electronics components in an MNC or semi-conductor industry.</li><li>Direct working experience in wafer fab facilities will be added advantage.</li><li>Possess strong technical competencies in his field of study.</li><li>Able to work under pressure and with strong commitment at work.</li><li>Experience with software applications such as MS Power Point, Excel and Word.</li></ul>

Responsibilities: Technology Development: <ul><li>Lead and/ or co-work with global process cluster on the development of next generation lithography for microacoustics filter and wafer-level packaging from concept to qualification and manufacturing release.</li><li>Define process requirements, success criteria, design of experiments (DOE), and characterization plans.</li><li>Drive root cause analyses, failure mechanism studies, and improvement loops to achieve performance, yield, and reliability targets.</li><li>Translate product requirements into process specifications and control strategies.</li></ul>&nbsp;Technology Transfer &amp; Ramp: <ul><li>Work with project leader on technology transfer – from pilot line to high volume manufacturing. Adapts to shifting priorities while ensuring deadlines are met.</li><li>Lead and drive technical discussions to onsite process transfer activities, including documentation (PFMEA, etc), training, process replication, and equipment matching.</li><li>Work with process cluster on establishing critical process windows, statistical control limits, and ramp readiness criteria.</li><li>Coordinate and report ramp performance tracking (yield, scrap, cycle time, tool capability) and drive closure of gaps.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Engineering (Materials Science, Chemical Engineering, Microelectronics or related fields).</li><li>4+ years of experience in industry environment with broad lithography exposure in handing KrF/ I-line scanner</li><li>Hand-on experiences in metrology including CD-SEM, Overlay, etc.</li><li>Strong lithography skills set on lithography theory, characteristics of photo-resist and corresponding applications, process set-up, optimization and margin improvement.</li><li>Strong skills in DOE, SPC, data analytics, FMEA, troubleshooting.</li><li>Excellent communication, technical documentation, and stakeholder management skills.</li></ul>

Responsibilities: Supplier Engagement: <ul><li>Educate suppliers on compliance requirements and conduct training for procurement teams, BU compliance teams, and suppliers.</li><li>Identify root causes of non-compliance and support development of sustainable remediation plans.</li><li>Engage and support effectively with suppliers and business units to drive remediation.</li><li>Support suppliers in developing effective policies and procedures to mitigate supply chain risks.</li><li>Support for supplier capacity building as required.</li><li>Manage ESG incidents, initiatives, and reporting for public-facing and statutory needs (e.g., responsibility reports).</li><li>Drive upstream prevention, mitigation, and capacity building, as well as downstream remediation and exit strategies.</li><li>Supports process documentation and systems management</li></ul> Program Governance: <ul><li>Support in the development and documentation processes for Supplier Compliance &amp; Risk program manual (includes Standard Work Instructions).</li><li>Analyse compliance data and prepare performance reports/scorecards for stakeholders.</li><li>Maintain organization SharePoints and manage subscribed digital platforms to keep data and scorecards current.</li></ul> Compliance Management: <ul><li>Escalate critical findings and ensure closure of remediations activities.</li><li>Support management of ESG Incidents as they arise.</li></ul> Requirements: <ul><li>Global experience in manufacturing, semiconductor, and/or electronics industries.</li><li>10–12 years of core experience in supply chain and supplier-focused roles.</li><li>Strong understanding of Supply Chain Compliance, including strategic alignment, operational modelling, process optimization, and data analytics.</li><li>Expertise in supplier relations, auditing, and capacity-building training.</li><li>Knowledge of supplier code of conduct requirements and experience with programs like Responsible Business Alliance (RBA).</li><li>Proven program management, people management, and stakeholder engagement skills.</li></ul>

Responsibilities: <ul><li>Standard ways of working and governance discipline across GBS operations</li><li>Responsible for delivering digital solutions for GBS and driving automation, process intelligence, and analytics through organization</li><li>Own the platform architecture for GBS digital capabilities in process intelligence, automation and analytics to set GBS up for future growth and maturity across technologies</li><li>Governance of technology budget, roadmap, and metrics/measurement of digital tools in collaboration with operational results and future value stream identification</li><li>Digital creators through GBS to make digital ways of working a part of our DNA &amp; designing a coaching program to educate analysts on digital opportunities and personal growth</li><li>Delivering on CI and/or digital projects and initiatives &amp; executing change management to ensure success</li><li>Having a global, external focus for GBS and challenging the organization to deliver value, while benchmarking against peers and industry enablers</li><li>Engage GBS leaders in the future of digital &amp; educate on future opportunities through stakeholder engagement</li></ul> Requirements: <ul><li>Desired: Bachelors degree in business, IT, engineering, or related field.</li><li>Minimum of 8-10 years of relevant experience in shared service operations with focus on delivering value realization through continuous improvement.</li><li>Experience as part of / interacting with outsourced operations teams</li><li>Working operational knowledge of one or more GBS functional domains (RTR, PTP, OTC in particular)</li><li>Proven hands-on experience on implementation of CI / productivity initiatives</li><li>Active experience of working across globally matrixed organizational constructs</li><li>Strong interpersonal and communications skills (both written and verbal) across levels of the organization</li><li>Strong analytical and problem-solving skills – effectively evaluates information/data to make decisions; able to pin-point and resolve problems at the source; anticipates obstacles and develops plans to resolve</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

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50 web analytics Jobs found

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Global Director FP&A

Forward Deployed AI Strategist

Sales Operation Analyst

Staff / Senior Engineer Electrical Facility Engineer)

Engineer, Senior (Process Development -Microacoustics Lithography)

Supplier Compliance & Rick Program Analyst

AMEA GBS Operational Excellence Lead

Software Engineer AI

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50 web analytics Jobs found

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Global Director FP&A

Forward Deployed AI Strategist

Sales Operation Analyst

Staff / Senior Engineer Electrical Facility Engineer)

Engineer, Senior (Process Development -Microacoustics Lithography)

Supplier Compliance & Rick Program Analyst

AMEA GBS Operational Excellence Lead

Software Engineer AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.