Technical Product Owner/Manager
First seen by Alion on Aug 21, 2026.
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 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 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.
Skills
ETL, PySpark, Google Cloud Platform, Azure Databricks, HDFS, Spark, Data Build Tool