Head Corporate Data & Analytics

October 9, 2026

Remote

Head

Pune, Madrid

Indeed

Worth knowing

English is required

Description

The Head Corporate Data & Analytics owns and leads the Corporate Function Enterprise Data Hub within the Databricks Data Mesh, delivering trusted, reusable and governed data products. The role drives analytics, machine-learning and AI solutions for priority Corporate Function outcomes and leads the migration of legacy data products into the enterprise data mesh. It also includes building and leading a multidisciplinary data team of analysts and engineers, based in Pune.

Responsibilities

Lead the strategy, roadmap, operating model and day-to-day performance of the Corporate Function Enterprise Data Hub aligned to Enterprise Data Mesh standards
Own end-to-end delivery and lifecycle management of Corporate Function data products, ensuring they are discoverable, reliable, secure and reusable
Lead delivery of analytics, machine-learning and AI solutions addressing priority Corporate Function outcomes from use-case shaping through adoption
Drive structured migration, rationalisation and retirement of legacy data products into the Databricks Data Mesh
Build, coach and lead a multidisciplinary team of data analysts, data engineers, ML engineers and AI engineers
Partner with Corporate Function leadership, GSS and IT Business Partnering to prioritise demand and manage trade-offs
Ensure data products and AI/ML solutions comply with enterprise data governance, security, privacy, quality and responsible-AI requirements
Manage the data hub's capacity, supplier engagement and investment, and communicate delivery performance, risks and realised value to senior stakeholders

Requirements

Bachelor's degree or equivalent experience in computer science, data science, engineering, information systems, mathematics or a related discipline; advanced degree is advantageous
Deep knowledge of data architecture, data engineering, analytics, data-product management, cloud platforms and the lifecycle of ML and AI solutions
Working knowledge of Databricks, modern data mesh concepts, data governance, metadata, data quality, security/privacy controls and responsible-AI principles
Strong commercial and business acumen, with the ability to communicate complex technical matters clearly to senior non-technical stakeholders
Professional fluency in English
Significant relevant experience, typically 10+ years, in data, analytics, data engineering, AI/ML, digital product delivery or technology leadership
Leadership experience with multidisciplinary teams of data analysts, data engineers, ML engineers and AI engineers
Demonstrated experience delivering enterprise-scale data products on modern cloud data platforms, preferably Databricks and a data mesh model
Experience shaping business demand into data-product roadmaps, leading prioritisation and delivering measurable value with senior stakeholders
Experience modernising legacy data and analytics estates, including migration planning, data quality, governance, security and operational resilience
Experience working across global Corporate Functions, shared services and IT business partnering environments; experience with regulated or privacy-sensitive data domains is preferred

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