Job highlights

- Qualifications . Bachelors or Masters 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.
- Experience working in Agile / Scrum environments.
- Preferred Skills . Databricks.

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

Bachelors or Masters 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.

Robust 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.

More information about NXP in India...

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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