- Location
- Haryana, Gurugram International Techpark, Block III Phase 2 Floors G, 2, 3, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Marketing
- Seniority
- Lead
- Experience
- 10+ years
- Source
- Workday
Description
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.
Skills
AzureDatabricks