Manager - Hire to Retire

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

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>Build effective collaboration across facilities, procurement, manufacturing, IT, and operations teams</li><li>Communicate project updates, risks, and key milestones to stakeholders and leadership</li><li>Identify risks, escalate issues proactively, and recommend mitigation strategies</li><li>Support root cause analysis and technical problem-solving across global sites</li><li>Contribute to development and standardization of Best Known Methods (BKMs)</li><li>Drive alignment of engineering priorities with global facilities strategies</li><li>Lead or support capacity planning and scenario analysis across site networks</li><li>Support sustainability initiatives aligned with corporate goals</li><li>Lead construction engineering activities for semiconductor facilities across design, construction, commissioning, and operations phases</li><li>Provide technical engineering support to construction teams to drive project execution and operational excellence</li><li>Manage scope, schedule, cost, and quality to meet project and business requirements</li><li>Support large-scale greenfield fab projects across U.S. and Asia, ensuring compliance with standards and regulatory requirements</li><li>Review engineering design packages and provide timely, documented feedback</li><li>Monitor construction progress and resolve technical issues during project execution</li><li>Support cost estimation, scheduling, and business case development</li><li>Coordinate with internal teams and external consultants to ensure alignment with project goals</li><li>Drive continuous improvement in construction practices with a focus on efficiency, innovation, and sustainability</li></ul> AI Responsibilities: <ul><li>Integrate AI-assisted tools into engineering and project workflows to enhance efficiency, quality, and decision-making</li><li>Identify opportunities to apply AI-driven insights in construction engineering, data analysis, and project planning</li><li>Contribute to continuous improvement by sharing AI-enabled best practices within the team</li></ul> Requirements: <ul><li>Minimum Required Qualifications / Experience</li><li>Bachelors degree in Mechanical Engineering, Construction, Building Services, or related field.</li><li>Minimum 8 years of mechanical engineering experience, including 5 years supporting construction projects.</li><li>Strong semiconductor facilities and process systems design experience (Cleanroom HVAC, CHW, PCW, Exhaust, CDA, Vacuum, etc.).</li><li>Experience working in EPCM project environments.</li><li>Ability to review engineering drawings, specifications, and technical designs.</li><li>Experience in project execution, including cost control, scheduling, commissioning, and handover.</li><li>Strong knowledge of construction engineering practices within semiconductor or similar industries.</li><li>Excellent technical problem-solving and root-cause analysis skills.</li><li>Strong communication, stakeholder management, and cross-functional leadership abilities.</li><li>Ability to work effectively in a global, multicultural environment.</li><li>Ability to apply baseline digital fluency and AI literacy to utilize AI-enabled tools for engineering analysis, problem-solving, and operational efficiency</li><li>Highly Desirable / Preferred Skills or Experience</li><li>Professional certification or membership in a recognized engineering body</li><li>Experience working on semiconductor fab or large industrial projects</li><li>Experience in greenfield construction projects</li><li>Knowledge of sustainability practices in construction and facilities</li><li>Experience working across global or regional teams</li></ul>

Role Description: <ul><li>The Jobholder is responsible for the overall management of Turkey supplier base within assigned raw and packaging material categories.</li><li>She/he will be ensuring excellent execution of the Global / Regional Category strategy and lead the COGs saving projects.</li><li>The job holder will handle the day-to day management of her/his materials supply base including supplier performance.</li><li>She/he is responsible for ensuring that materials for the factories are delivered as per the established KPIs by the relevant internal stakeholders.</li></ul> Responsibilities: Maximize value for money <ul><li>Establish procurement strategies for raw pack materials in line with global/regional category teams.</li><li>Lead the development and execution of Cost of Goods Sold (COGS) initiatives and specification changes in coordination with the relevant stakeholders.</li><li>Own Resilience program in Turkey in collaboration with SQA &amp; R&amp;D driving dual sourcing target.</li><li>Negotiate and challenge suppliers quality, price (where appropriate, non-regional/global category materials), service, lead times, minimum order quantities &amp; payment terms to get the best value for every dollar spent.</li><li>Provide Commercial leadership for new supplier introductions and approvals.</li><li>Provide local management of Purchase Price Variance (PPV) and buying performance metrics.</li></ul> Optimize and protect the supply chain <ul><li>Contribute to World-class management of Working Capital through Day Raws and Packs Outstanding (DRPO) initiatives (e.g. stock reductions).</li><li>Manage the contracting process including request for quotation (RFQs) &amp; tenders (where appropriate, non-regional/global category materials) and contract creation &amp; PO issuance (samples) in line with the policies and procedures.</li><li>Manage Mars Intellectual Property with the support of the regional IP Commercial representatives, using the appropriate Confidentiality agreements and supply contracts to ensure is protected. Ensure responsible and continuous supply.</li><li>Provide local expertise and market intelligence for the global category teams.</li><li>Provide Commercial leadership for new supplier introductions and approvals.</li><li>Provide necessary support to internal stakeholders in ensuring supply continuity, supplier issues, non-conformance, managing stocks and pipelines. o Ensure zero runouts due to materials availability.</li><li>Support SQA in developing supplier performance scorecards and provide commercial leadership for the proactive measurement of supplier performance (Supplier compliance scorecards).</li><li>Manage &amp; develop day to day relationship with suppliers and provide commercial leadership to resolve disputes, supplier issues and non-conformance when site internal stakeholders are unable to during the contractual period.</li><li>Monitor commodity trends periodically and provide local expertise and market intelligence for the global category teams to anticipate future risks/opportunities</li><li>Provide support to sustainability initiatives (local/regional/global) to ensure compliance to targets in relation to materials.</li><li>Work closely with internal stakeholders &amp; suppliers to ensure the right specifications are purchased.</li><li>Responsible for the requisition-to-pay process for the assigned scope of purchases and ensures that demands are met.</li></ul> Leverage External Capabilities <ul><li>Provide local expertise and market intelligence for the global category teams.</li><li>Provide Commercial leadership for new supplier introductions and approvals.</li></ul> Requirements: <ul><li>Bachelors degree - 1-3 years of Commercial/Purchasing experience preferably in the Fast-Moving Consumer Goods (FMCG) field - Fluent in English.</li><li>Preferably knowledge of SAP MM Modul Advanced user of MS Office applications especially Excel</li></ul>

Responsibilities: <ul><li>Collaborate with multi-functional network teams from PIE, Process &amp; Equipment Engineering, WLR, TD to improve product yields and reliability within your assigned process loop.</li><li>May require travel to global company sites to foster collaboration and drive execution.</li><li>Communicate module related issues to the Fab engineering and leadership teams.</li><li>Design, execute, and analyze experiments to improve fab process, yield, and quality.</li><li>Collect and interpret complex data to optimize Fab processes and increase yields.</li><li>Engage and/or lead cross-area engineering teams to tackle process issues.</li><li>Work closely with global partners to stay ahead of on module related topics and process alignment projects.</li><li>Collaborate with other PI module owners and sister fabs to drive business process alignment</li><li>Partner with IE, Process and Equipment Engineering and Production to better forecast and balance yield, output and process issues</li><li>Promote network synergy through improved benchmarking and standardization of known engineering best-known methods (BKMs), business process.</li></ul> Requirements: <ul><li>Bachelor’s or advanced degree in Engineering or Science is required</li><li>Strong analytical, logical, and critical thinking skills</li><li>Effective communicator, able to collaborate across all levels</li><li>Growth mindset with a passion for continuous learning</li><li>Internship or experience in the semiconductor industry is a plus</li><li>Demonstrated leadership and a track record of impact are highly desirable</li><li>Interest in and knowledge of the semiconductor industry and company is preferred.</li></ul>

Responsibilities: <ul><li>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</li><li>Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes</li></ul>

Responsibilities: <ul><li>Enable technology ramp in high-volume production for CMOS and memory devices.</li><li>Improve device performance with a focus on variability reduction and robustness.</li><li>Support and execute design and test optimization to enhance manufacturability and performance.</li><li>Identify and implement process simplification and working methodology improvements.</li><li>Lead or actively contribute to cross-functional problem-solving for device, yield, and quality issues.</li></ul> Requirements: <ul><li>Minimum 5 years of relevant working experience is requiredA masters or Ph.Ddegree in Physics or Engineering areas is preferred.</li><li>Working experience in wafer fab process or process integration engineeringDirect experience in advanced CMOS device technology such as FinFET or GAA is preferable.</li><li>Proven knowledge in semiconductor physics and understanding of transistor operations, scaling limitations and reliability, basic knowledge of CMOS circuits and characterisation methods.</li><li>Understanding of wafer fabrication process areas, including tool sets, process mechanisms, tuning knobs, etc.</li><li>Excellent data analysis skills using software (JMP, SPOTFIRE, etc).</li><li>Strong task ownership, self-motivated to work with other team members to make progress collaboratively.</li><li>Open-minded attitude to learn new skills and could adapt to a new working environment swiftly.</li><li>Good digital literacy with MS OfficeProgramming capability such as Python is a plus.</li><li>Occasional international business travel is required for this position.</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: 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>

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218 lead auditor aerospace Jobs found

Manager - Hire to Retire

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

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218 lead auditor aerospace Jobs found

Manager - Hire to Retire

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Commercial Operations Specialist

Fronted End Central Process Integration Senior Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

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