Data Expertise Manager – Customer Operations
Unilever (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 0m ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and grow a globally distributed team of data SMEs, engineers, and analysts to build scalable data foundations for Customer Operations.
- Own end-to-end delivery of Customer Operations data products including demand shaping, roadmap planning, build, release, support, and retirement.
- Provide hands-on technical leadership in data modelling, pipeline design, quality, compliance, and enable AI and analytics readiness.
Minimum Requirements
- Typically 10+ years experience in data engineering, data management, architecture, analytics, or BI, preferably in global organizations or capability centers.
- Proven leadership of India-based or global data teams involving engineers, analysts, SMEs, and third-party partners.
- Mandatory technical skills include advanced SQL, Spark SQL, Python, PySpark, Databricks, Google Cloud Platform services (BigQuery, Dataflow, DataProc, etc.), and data modelling tools.
- Must hold certifications such as Databricks Certified Data Engineer, Google Cloud Professional Data Engineer or Architect, and data modelling/management certifications (DAMA CDMP or equivalent).
Ideal Candidate Profile
- Experienced leader with strong background in managing globally distributed data teams and coordinating with diverse stakeholders.
- Hands-on expert in modern data platforms (lakehouse architectures, cloud data warehouses), data engineering best practices, and governance.
- Comfortable working in complex, agile environments involving cross-functional collaboration and product-focused delivery.