IT Data Science Principal (Data Warehouse)
About the role
The IT Data Science Principal provides leadership for enterprise data warehouse and artificial intelligence capabilities, ensuring the organization delivers trusted insights and scalable Data and AI solutions aligned with business strategy. This role leads people, platforms, and delivery practices across analytics engineering, BI, data science/ML, and GenAI enablement. The Data Warehouse Engineer partners closely with Data & Analytics leadership, Information Security, Risk/Compliance, and business leaders to define priorities, manage teams and vendors, and embed governance for data, models, and AI use cases. This role drives measurable outcomes through roadmap execution, operating rhythms, and continuous improvement across Data Warehouse, analytics and AI delivery.
Responsibilities
- Partner in developing enterprise analytics and AI roadmap, aligning use cases and investments to business strategy, value, and feasibility.
- Establish outcome-based prioritization, intake, and funding recommendations for analytics, ML, and GenAI initiatives.
- Define success metrics and benefits tracking for analytics/AI products and services (adoption, quality, cycle time, and business impact).
- Lead, coach, and partner with multi-disciplinary teams (analytics engineers, BI developers/analysts, data scientists/ML engineers), including vendor/partner resources.
- Set clear expectations for delivery quality, documentation, testing, and responsible AI practices; build development plans and career pathways.
- Build a high-performing organization focused on customer value, operational excellence, and continuous learning across analytics and AI.
- Partner with business and functional leaders to identify, shape, and deliver analytics and AI use cases; translate needs into a clear product backlog and release