
Subrahmanyam Kemisetti
@subrahmanyamkemisett
Enterprise data strategy director at Kenvue leading platforms supporting 8 PB of data and Finance360 Operations across 100+ integrations.
What I'm looking for
At Kenvue, I lead enterprise data-platform and DataOps capabilities supporting approximately 8 PB of data, along with Finance360 Operations and an ecosystem of 100+ enterprise integrations. I guide platform architecture across Databricks, Snowflake, Kafka, Airflow and dbt, and provide technical direction on GenAI and enterprise AI adoption.
At Becton Dickinson (BD), I led a $30M enterprise Data & AI transformation and oversaw approximately 100 analytics, AI and ML PoCs, with 40+ progressing into production. My work across life sciences and healthcare also includes data architecture and integration for GSK, Merck KGaA and Eli Lilly, connecting business needs with governed data capabilities and technology investments.
Experience
Work history, roles, and key accomplishments
Director – Enterprise Data Strategy & Life Sciences Transformation
Leads enterprise data-platform and DataOps capabilities supporting approximately 8 PB of data, enabling scalable and reliable data foundations for analytics, applications, integrations, and AI use cases. Provides enterprise architecture and technology leadership across Databricks, Snowflake, Kafka, Airflow, and dbt.
Enterprise Data Architecture & Integration Lead
Merck KGaA
Spent more than one year onsite in Frankfurt, leading enterprise architecture, integration, migration, harmonization, and technology delivery within a global life-sciences environment.
Enterprise Data Platform Transformation
Led architecture and delivery of a Unified Data Platform on Google Cloud, establishing a modern Data Mesh / Lakehouse foundation to replace fragmented legacy data environments. Directed BigQuery migration, integrated data models, real-time, batch and micro-batch processing, data lineage, governance, and cataloging.
Enterprise Data, Advanced Analytics & AI Transformation
Led a $30M multi-year enterprise Data & AI transformation in a global healthcare technology environment, spanning data strategy, Advanced Analytics, Data Science, Data Engineering, enterprise platforms, architecture, and operations. Oversaw approximately 100 Advanced Analytics / AI / ML PoCs, with 40+ progressing into production.
Enterprise Data & Analytics Lead
Supported enterprise claims modernization, including conversion of 2,000+ objects, Financial Data Warehouse capabilities, BI, ETL, reporting, and production operations with SLAs.
Enterprise Data & Analytics Lead
Led enterprise data architecture, integration, data modeling, and BI capabilities using SAP RapidMarts/HANA across sales, finance, inventory, production planning, purchasing, and other business domains.
Data Architecture & Integration Lead
Led data architecture, profiling, cleansing, migration, and integration for an approximately £8M SAP ECC transformation supporting commercial markets, trading partners, and manufacturing. Worked directly with business stakeholders onsite in London.
Education
Degrees, certifications, and relevant coursework
Osmania University
Master of Technology, Computer Science
Master of Technology in Computer Science from Osmania University, Hyderabad, India.
National Institute of Technology, Warangal
Bachelor of Technology
Bachelor of Technology from the National Institute of Technology, Warangal, India.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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