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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