Senior Director, Data Engineering, Governance & Transformation

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Job Title: Senior Director, Data Engineering, Governance & Transformation

Location: Flexible / Global (Preferred: ADI HQ)
Reports to: VP, Customer Experience & Digital Innovation

Role Summary:

As ADI advances its Analog 3.0 vision, the Senior Director of Data Engineering, Governance & Transformation will serve as a critical leader in operationalizing data and AI to drive measurable business outcomes. This role integrates enterprise-scale data engineering, AI/data governance, and transformation use case delivery, while also shaping the digital mindset across the organization. The leader will be accountable for building a modern data foundation, instilling trust and governance, enabling scalable use cases, and fostering a culture of digital fluency and AI adoption.

Key Responsibilities:

1. Data Engineering & Platform Enablement

• Lead the design, build, and optimization of scalable, secure, and resilient data pipelines and platforms across cloud and on-premise ecosystems
• Drive modernization of legacy data infrastructure, enabling real-time, high-quality, and democratized data access
• Partner closely with Enterprise Architecture to align platform investments with AI and analytics strategies

2. Data & AI Governance Leadership

• Establish and lead enterprise-wide governance of data and AI, including policies, standards, data lineage, ethics, and risk-based controls
• Stand up scalable processes for data product ownership, AI use case intake/review, and model lifecycle governance
• Co-lead the AI Council, ensuring cross-functional alignment and accountability across business, legal, and technical stakeholders

3. Digital Transformation & Use Case Delivery

• Own the delivery of high-impact digital and AI use cases aligned to ADI’s strategic priorities (e.g., customer experience, operations, supply chain, and talent)
• Partner with full-stack CIOs and business units to identify, prioritize, and scale repeatable value-generating solutions
• Act as product owner for enterprise data capabilities powering these use cases

4. Culture & Capability Building (Digital Mindset)

• Launch and embed a digital mindset program across ADI to upskill employees, encourage experimentation, and build trust in AI
• Collaborate with HR, communications, and business sponsors to drive engagement and adoption
• Serve as a visible champion for data and AI-driven ways of working

Key Qualifications:

• 15+ years of experience in data engineering, AI/ML, or digital transformation with a track record of delivering scalable outcomes
• Deep understanding of modern data architecture (e.g., data lakes, lakehouse, ELT/ETL, streaming), cloud platforms, and MLOps practices
• Proven leadership in establishing data/AI governance and change management programs in large, matrixed organizations
• Strong program management skills and business acumen to translate vision into roadmap and results
• Adept at leading diverse, cross-functional teams and collaborating across technical and non-technical functions
• Bachelor's degree in Computer Science, Engineering, or related field; Master's degree or MBA a plus

Success Metrics:

• % of enterprise data pipelines transitioned to modern platform
• Business value generated from delivered AI/digital use cases (e.g., efficiency, revenue, customer satisfaction)
• Adoption rate and maturity of data and AI governance f