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.
  
  

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