Advisor - Technical Product Manager

Thryve Digital · Chennai

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Last observed by our collector: 9 October 2026 at 12:26 am IST. This is not a manual review or a confirmation from the employer.

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Collected role description

ETL Technical Product Owner / Manager 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.Essential Responsibilities • 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 escalate 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 teamRequired • 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 in managing enterprise grade ETL/ELT solutions using Pyspark / GCP DataProc / Databricks etc. • 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 big data technologies (HDFS, Spark, Pyspark, Databricks etc) • 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 • Agile experience • Healthcare experience

Collected experience requirement

10-14 years