Data, BI and AI Provisioning Lead

NXP Semiconductors; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NXP Semiconductors in Bengaluru seeks a Data Provisioning Lead to translate business demand into governed data products enabling analytics and decision-making. You will bridge Business, IT, Data Engineering, Data Governance, and Platform teams to ensure timely delivery of secure, high-quality data products.

The role requires 10+ years in Data & Analytics or related fields, strong stakeholder management, and experience leading cross-functional initiatives in an Agile environment.

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.

Responsibilities

• 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.
• Act as the primary interface between business stakeholders and delivery teams.
• Facilitate requirements workshops and stakeholder alignment.
• Coordinate Data Engineers, Architects, Governance, and Platform teams.
• Lead delivery from ideation through deployment and adoption.

Skills

Data product management

Stakeholder management

Agile Scrum

Cross-functional leadership

Education

Bachelor's or Master's degree in CS/IM/DE

Tools

Databricks

Unity Catalog

AWS

Azure

SQL

Jira

Job description

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.

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.

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.

About NXP

More information about NXP in India... #LI-7013 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com

Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people.

To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress.

Thank you for considering a career at NXP.

Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind.

We have programs in place focused on diversity, inclusion and equality.

Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.