About this role
Work Flexibility: Hybrid
What you will do:
• Shape and execute the enterprise data strategy and multi-year roadmap, aligning data investments with business priorities and growth objectives. • Translate business goals into scalable data capabilities, target-state architecture, and a prioritized portfolio of strategic initiatives. • Establish and drive adoption of enterprise data standards, best practices, and operating models across teams. • Partner with governance, product, platform, and business leaders to strengthen data quality, security, privacy, and stewardship. • Evaluate and recommend modern data management capabilities, including data platforms, metadata management, data catalog, and master data solutions. • Champion the adoption of AI, automation, Copilot, and emerging agent-based technologies to unlock business value and improve ways of working. • Define and track KPIs, maturity assessments, and value realization metrics to measure progress and demonstrate business impact. • Lead intake, prioritization, and business case development for strategic data and analytics investments. • Influence senior stakeholders and governance boards through clear communication of strategy, roadmaps, trade-offs, and recommendations. • Develop strategy artifacts, standards, and reference materials while mentoring teams on data strategy, stakeholder engagement, and best practices.
What you will need:
Required Qualification:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or related discipline require. 10+ years of experience in data strategy, data management, data architecture, analytics, or a related discipline.
• Experience developing data roadmaps, standards, or operating models adopted across multiple teams.
• Experience partnering with cross-functional stakeholders to prioritize and align data investments.
• Strong understanding of modern data platforms, data governance, and data quality practices.
Preferred Qualification:
• Experience defining data strategy or architecture direction for a modern cloud data platform (e.g., Azure/Databricks lakehouse) preferred. • Experience building business cases, roadmaps, and executive-level strategy materials preferred. • Exposure to AI/ML and generative AI enablement within an enterprise data environment preferred. • Data governance, data management (e.g., CDMP), cloud data platform, or enterprise architecture certification preferred.
Travel Percentage: 10%