Senior Lead, Data Strategy & Marketing

• 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:

• Bachelors 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.