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.