Guide the analytics engineering teams in alignment with the department’s Operating Model, embedding technical data capabilities within cross-functional product teams.
Partner with product and other data analytics leaders to define technical data product strategies, ensuring alignment with business goals and KPIs.
Champion data-as-a-product principles, ensuring reusability, quality, and discoverability across the enterprise.
Consult on and oversee the design of modern data pipelines, semantic layers, and analytical data models supporting product and business analytics needs.
Drive data quality, lineage, observability, and governance practices across analytics product engineering workflows.
Enable the development of self-service analytics through well-structured, reliable datasets and documentation.
Guide engineering team members through the various prototyping methodologies for testing feasibility and usability.
Provide guidance and recommendations for automated testing solutions
Provide recommendations on moving toward a continuous improvement/continuous delivery model within the analytics product organization.
Own and improve data SLAs, performance metrics, and operational dashboards to ensure reliability and scalability.
Collaborate with governance and compliance teams to enforce data privacy, security, and ethical usage standards.

Bachelor’s in Data Engineering, Computer Science, Information Systems, or a related field.
Master’s degree is desired.
8+ years of experience in data engineering, analytics engineering, or BI architecture
3+ years in a leadership role.
Proven experience working in or transitioning to a Product Operating Model, with deep understanding of domain-driven design and agile delivery.
Proven experience in driving innovation & improving speed of delivery.
Expertise with SQL, Python, Microsoft Fabric, Databricks, or similar cloud data platforms.
Strong understanding of data modeling and modern data stack principles.
Familiarity with BI tools (Power BI, Tableau, etc.) and how to design models to support them.
Experience implementing CI/CD for data pipelines and data observability solutions.

Director, Data Product Execution

Key skills