Data & Analytics Director

External

Phinia · Bengaluru, India

Full-timeOn-siteToday

AzureComplianceDocumentationETLLeadershipMachine Learning

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About the role

PHINIA: Advancing sustainability today, powering a cleaner tomorrow. PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI®, DELCO REMY® and HARTRIDGE™. With over 12,500 employees across 43 locations in 20 countries, PHINIA is headquartered in Auburn Hills, Michigan, USA. At PHINIA, we Provide fuel systems, electrical systems, and aftermarket products and solutions of the highest quality - developed and manufactured responsibly - that are designed to enhance efficiency and reduce the environmental impact of vehicles, industrial machinery, and other applications. In doing so, we contribute to a cleaner tomorrow, treat our people and surrounding communities with respect, and hold ourselves accountable to robust ethical standards. Our Culture PHINIA promotes and cultivates an inclusive culture and diverse perspectives, strives to maintain its reputation for excellence, thrives on the power of collaboration, and fosters the development of our talented employees. We believe in making a positive impact through our business and actions, and we take our collective responsibility seriously. Career Opportunities We believe in building a brighter tomorrow for our employees as well as our customers and encourage you to learn about our long history, strong culture, new technologies, and future vision. We offer a strong local presence and interesting global opportunities. Join us on this shared journey toward a brighter tomorrow. JOB PURPOSE PHINIA is seeking a Data & Analytics and Innovation Lead to set the enterprise data strategy, operationalize analytics at scale, and accelerate technology innovation. This role oversees a global team responsible for building modern data platforms, data pipelines, analytics delivery, automation roadmap, and innovation incubation. This roll will also drive AI/ML use cases for PHINIA and turn insights into measurable business value. The lead will champion data quality, governance, and self service BI while running innovation sprints and partnering with business and technology teams to deliver ROI backed outcomes.

Responsibilities

Lead PHINIA's enterprise data and analytics strategy, including data platform evolution, analytics roadmap, and adoption of AI‑assisted analytics capabilities.

Establish and enforce data governance, including data quality standards, security controls, metadata management, lineage, and compliance with PHINIA's privacy and regulatory requirements.

Architect, modernize, and oversee data platforms (Azure Data Lake, Delta Lake, Databricks, Synapse), data pipelines, integration layers, and self‑service analytics tools.

Create and maintain data architecture documentation, data models, data flow diagrams, integration specifications, and governance playbooks.

Identify, prioritize, and deliver analytics use cases across manufacturing, supply chain, quality, finance, aftermarket, engineering, and customer domains.

Enable AI‑driven insights through advanced analytics, machine learning-ready datasets, feature pipelines, and enriched semantic models, in partnership with data scientists.

Collaborate with application, cloud, integration, and business teams to operationalize enterprise data products and high‑quality analytics solutions.

Establish dashboards, KPIs, data scorecards, and measurement frameworks to track adoption, data quality, analytics performance, and business impact.

Manage budgets related to data platforms, BI tools, AI‑assisted analytics tooling, licensing, cloud consumption, and external services.

Oversee vendor and partner relationships for data platforms, BI ecosystems, cloud services, and analytics engineering partners; ensure service value and platform performance.

Communicate effectively with senior leadership by presenting analytics roadmaps, platform performance, adoption trends, insights summaries, and financial impact assessments.

Lead, mentor, and grow a global team of data engineers, BI developers, analytics product owners, and data governance contributors.

Establish best practices, engineering standards, reusable frameworks, and knowledge‑sharing processes for analytics delivery and data engineering.

Foster a culture of data literacy, analytical excellence, and continuous improvement across business and IT teams.

Data & Analytics Director

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