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Lead- Data Solutions and Analytics- Support

Kenvue · Asia Pacific, India, Karnataka, Bangalore

8–15 yrs experiencePosted 3 days ago
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Job description

Kenvue is currently recruiting for a: Lead- Data Solutions and Analytics- Support What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.  We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here. Role reports to: Digital Solutions Manager Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do Role: Lead- Data Solutions and Analytics Shifts: flexible for any shifts. Summary: Ensures the day-to-day operation of data processing, telecommunications, network systems, software and hardware configuration and support, and information technology implementation company wide. Manages within the framework of established policies and procedures with accountability for all systems and their enhancements. At this level the role has increased responsibility including, but not limited to, additional skills, multiple lines/products, diverse teams, etc. Job Description: Lead- Data Solutions and Analytics This position reports to Manager, Digital Solutions and is based at Bengaluru, IN Who we are: At , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, . Role reports to: Manager, Digital Solutions Location: Bengaluru, IN What you will do: As a Lead – Data Solution and Analytics, you will  Lead a team responsible for the build, support, and optimization modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Azure Databricks, Data Lake, Spark.SQL), SQL development and Data Analysis. You will collaborate closely with business stakeholders, data engineers, and data scientists to maintain reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts. Note: This role includes production support, monitoring, and potential rotational shift coverage (including night shifts if required). Key Responsibilities: Required Qualifications: • Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure. • Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL. • Deploy data pipelines into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc. • Create reusable SQL scripts for reporting, data validation, and ETL processes. • Design, develop, and optimize complex SQL/T-SQL queries, stored procedures, and performance tuning for large-scale datasets. • Perform data profiling, cleansing, and validation to ensure accuracy and reliability. [ Data Analytics] • Develop data models and analytical frameworks to support reporting and decision-making. • Mentor and Build a Data Engineering Support team composed of Data Engineering Resources • Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks. • Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve. • Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance. • Governance and Compliance• Establish clear