Director, Data Product Execution

Role Overview

• 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.
• Guide and mentor teams of data engineers & data scientists, fostering a culture of technical excellence, collaboration, and continuous improvement.
• Partner with data scientists, analysts, and engineers to promote best practices in data modeling, version control, and CI/CD for analytics workflows.
• Work closely with product managers to prioritize data initiatives that deliver measurable value.
• 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.
• Continuously evaluate and implement emerging technologies and methodologies to enhance data productivity.
• Collaborate with cross-functional teams, including IT, marketing, sales, and customer service, to align data strategies and initiatives.
• Communicate data governance policies and procedures to stakeholders and provide training on data management best practices.
• Facilitate data-related discussions and workshops, fostering a culture of data stewardship and accountability.

Requirements

• 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.

Tech Stack

• Cloud
• Python
• SQL
• Tableau

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options