Data, BI and AI Provisioning Lead

Role Summary

The Data Provisioning Lead is responsible for translating business demand into governed data products that enable analytics, AI, and business decision-making.

This role acts as the bridge between Business, IT, Data Engineering, Data Governance, and Platform teams to ensure timely delivery of secure, high-quality, and compliant data products.

Key Responsibilities

Data Product Management

. Own the intake, prioritization, and delivery of data product demand.

. Translate business requirements into actionable delivery plans.

. Drive adoption and business value realization of data products.

. Manage a portfolio of data products across multiple business domains.

Stakeholder Management

. Act as the primary interface between business stakeholders and delivery teams.

. Facilitate requirements workshops and stakeholder alignment.

. Manage dependencies, risks, priorities, and escalations.

. Promote strong collaboration across IT and business functions.

Delivery Leadership

. Coordinate Data Engineers, Architects, Governance, and Platform teams.

. Lead delivery from ideation through deployment and adoption.

. Ensure delivery milestones, timelines, and quality objectives are achieved.

. Support resource planning and demand orchestration.

Governance & Quality

. Ensure compliance with data governance, security, and quality standards.

. Drive metadata, lineage, ownership, and stewardship practices.

. Support implementation of data quality controls and monitoring.

Enablement

. Coach and enable domain teams in data product development.

. Drive adoption of standards, best practices, and reusable patterns.

. Promote a data product-centric operating model.

Qualifications

. Bachelor's or Master's degree in Computer Science, Information Management, Data Engineering, or related field.

. 10+ years of experience in Data & Analytics, Data Engineering, Data Governance, or Product Management.

. Proven experience leading cross-functional data initiatives.

. Strong stakeholder management and communication skills.

. Experience working in Agile/Scrum environments.

Preferred Skills

. Databricks

. Unity Catalog

. Data Governance & Data Quality

. AWS and/or Azure

. SQL & Data Modeling

. Jira / Agile Delivery

. Data Analytics and Data Product Management

Success Measures

. Timely delivery of governed data products.

. High stakeholder satisfaction.

. Strong data quality and governance compliance.

. Increased data product adoption and reuse.

. Effective orchestration of business and technical teams.

. This is a Senior lead role with enterprise-wide influence, responsible for a portfolio of strategic data products, stakeholder management, delivery leadership, and driving data product excellence across the organization.