Lead, Data & AI Governance

Senior Manager-Advanced Quality Engineering

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>Implement quality planning and controls for prototype/sample builds; manage build documentation.</li><li>Conduct Measurement System Analysis (MSA) for inspection systems and gauges.</li><li>Analyze samples and quality issues during development; drive corrective actions.</li><li>Ensure design verification and product qualification testing prior to project Gate 5.</li><li>Perform Process Capability Studies to support Final Tool Approval (FTAR) using CTAR methodology.</li><li>Establish and maintain quality controls and documentation for production environments.</li><li>Monitor process capability and oversee corrective actions as needed.</li><li>Approve measurement and cosmetic inspection criteria.</li><li>Support internal and external audits, including customer quality system audits.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical, Mechanical Engineering, or related field.</li><li>10+ years of experience in quality control, preferably in cable assemblies, connectors, sockets, or similar industries.</li><li>Strong leadership capability and experience in managing people leaders across cultures.</li><li>Strong communicator with excellent written and verbal English skills.</li><li>Able to communicate effectively across all levels of the organization.</li><li>Trainer of quality tools and methodologies, with experience delivering workshops or coaching teams.</li><li>Deep understanding of ISO 9001, SPC, FMEA, MSA, and 7 QC tools.</li><li>Proficient in Statistical Process Control and Design of Experiments (DOE).</li><li>Demonstrated knowledge and experience with APQP methodology and requirements.</li><li>Familiarity with Model-Based Dimensioning (MBD) and GD&amp;T standards.</li><li>Expertise in EIA-364 test procedures.</li><li>Certified Internal/External Auditor; Six Sigma Black Belt preferred.</li><li>Skilled in quality software tools such as Minitab or JMP.</li><li>Strong organizational skills, strategic planning ability, and customer focus.</li><li>Proven ability to build effective cross-functional relationships and drive results.</li></ul>

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Lead, Data & AI Governance

Senior Manager-Advanced Quality Engineering

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Lead, Data & AI Governance

Senior Manager-Advanced Quality Engineering

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