Technical Product Manager

enGen Global; Chennai District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Thryve Digital Health LLP in Chennai/Hyderabad seeks an ETL Technical Product Owner to lead a data team building reusable pipelines with Databricks and PySpark on GCP.

This senior role combines hands-on data engineering with program management, coordinating with US counterparts and vendor teams to deliver high‑impact data solutions on time. 12–15 years experience in data engineering/PM, with strong communication and leadership, are required.

Qualifications

• 12–15 years overall experience with majority in data engineering.
• Experience managing complex data projects involving ETL, ingestion, transformation, and storage.
• Experience building and mentoring high performing teams across multiple locations.
• Strong customer focus, communication, collaboration and problem-solving skills.

Responsibilities

• Lead data engineering lifecycle including PoCs, architecture, design, development, test, deployment and maintenance of data pipelines.
• Establish and implement standardized ETL and data architecture guidelines for consistency and efficiency.
• Guide team to create frameworks for data quality, error handling, audit controls, and reusable transformations.
• Lead enterprise-wide data modeling and data management strategies ensuring seamless integration across systems.
• Translate business requirements into practical data solutions addressing constraints and optimizing processes.
• Communicate with business users, US team, architects and analysts to align data solutions with objectives.
• Mentor multiple data engineering teams to achieve project goals and deliverables.
• Oversee day-to-day operations ensuring adherence to process, scope, quality, and timelines.

Skills

ETL

US Healthcare

Cloud

Technical PM

PySpark

Databricks

Tools

Iceberg

DBT

Starburst

Job description

Job Title: ETL Technical Product Owner / Manager

Work Location: Chennai/Hyderabad

Experience: 12-15 years

Shift - 1 PM to 10 PM or 3 PM to 12 PM

Skills Required : ETL, Pyspark, Databricks, US Healthcare, Cloud, Technical PM or PO

Thryve Digital Health LLP is an emerging global healthcare partner that delivers strategic innovation, expertise, and flexibility to its healthcare partners. Being a US healthcare conglomerate captive, we have direct access to deeper insights that help us accelerate our learning process and keeps us ahead of the curve. Thryve delivers next-generation solutions that enable our healthcare partners to provide positive experiences to their consumers.

Our global collaborative of healthcare, operations, and IT experts creates innovative and sustainable processes for our clients, which keeps the ever-evolving consumers engaged and assists them in managing the future of their healthcare better. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. Thryve is an equal opportunity employer and places a high value on integrity, diversity, and inclusion in the organization. We do not discriminate on the basis of any protected attribute. For more information about the organization, please visit www.thryvedigital.com

Role Summary:

To lead a vibrant data team that is creating & maintaining re-usable data pipelines using Databricks, PySpark & GCP. The role will involve managing the work end to end, interaction and co-ordination with multiple stakeholders including US counterparts & other vendor team members.

• Lead the overall data engineering lifecycle including proof of concepts, architecture, design, development, test, deployment and maintenance of data pipeline and solutions
• Establish and implement standardized guidelines for ETL and data architecture, ensuring consistency and efficiency
• Guide team to create frameworks that guarantee data quality, handle errors effectively, provide audit controls, and offer reusable transformation structures
• Lead team to apply a comprehensive, enterprise-wide approach to building data models and data management strategies, ensuring seamless integration across upstream and downstream applications
• Transform business requirements into creative and practical data solutions that address constraints and optimize processes.
• Effectively communicate with business users, US team, architects, data analysts, and other teams to ensure data solutions meet their needs and align with overall objectives.
• Lead and mentor multiple data engineering teams to achieve project objectives & deliverables
• Manage day to day operation and ensure adherence to process, scope, quality and timelines
• Participate in review of requirements, architecture & design
• Highlight risks and concerns, work with US managers to establish alignment, contingency and mitigation plans as required
• Constantly looking to identify impediments early, actively working to resolve those impediments, and escape when needed
• Track delivery statuses, project progress and take ownership of critical incidents till completion
• Take ownership and accountability of critical projects (for work executed in India)
• Publish regular status to leadership team highlighting risks & issues among other things
• Other duties as assigned or requested – approximately 50% technical and 50% management

The experience we are looking to add to our team

Required

• 10 to 14 years of overall experience with majority of them in Data engineering
• Experience managing complex data projects and programs involving data engineering, ingestion, transformation, aggregation, modeling and storage
• Experience building, mentoring, and managing high performing teams spread across multiple geographical locations
• Strong customer focus, communication, collaboration and problem-solving skills
• Excellent communication, confidence & attitude
• Experience in leading a team and delivering complex projects involving creation and maintenance of data pipelines

Good to have

• Google Cloud knowledge / experience
• Knowledge on tools like Iceberg, DBT, Starburst