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OfficeJob Description
Job Title –Product OwnerJob Location: Bangalore, India
About Company:ThermoFisher Scientific Inc. is the world leader in serving science, with revenues of more than $40 billion and approximately 1,20,000 employees globally. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity.
About Team: We are Automation, AI and Data (AAD) team that caters to data engineering and analytics, automation and AI solutions for various groups and divisions within Thermofisher Scientific.
What will you do?
As a product owner, you will play a key role in strengthening our data engineering capabilities delivering data engineering pipelines and solutions through Enterprise Data Platform (EDP) for various groups and divisions.
General Job Functions- Product Ownership & Roadmap Management
- Own and prioritize the Data Engineering product backlog based on business value, risk, dependencies, and technical feasibility.
- Define product objectives, roadmap, milestones, acceptance criteria, and measures of success.
- Business Requirement Translation
- Partner with Supply Chain, Finance, Data Owners, Data Stewards, SMEs, IT teams, and other stakeholders to understand business problems.
- Translate business requirements and data-quality rules into clear user stories, technical requirements, data rules, and acceptance criteria for Data Engineers.
- Data Analysis & Validation
- Perform hands-on SQL analysis to understand datasets, investigate data-quality issues, validate engineering outputs, and support root-cause analysis.
- Define and validate data-quality controls covering completeness, consistency, business rules, reconciliation, duplicates, exceptions, and outliers. These are particularly relevant to the supplied UOM audit procedures.
- Data Engineering Collaboration
- Work closely with Data Engineers to design and deliver reliable data pipelines, curated datasets, data-quality solutions, and analytical data products.
- Participate in discussions involving Databricks, PySpark, SQL, data transformations, source-to-target mappings, data models, and pipeline dependencies.
- Stakeholder & Cross-Functional Management
- Act as the primary bridge between business stakeholders and technical teams.
- Facilitate requirement workshops, backlog refinement, sprint planning, demos, issue resolution, and stakeholder updates.
- Communicate technical concepts, limitations, risks, and trade-offs in business-friendly language.
- Data Quality & Governance
- Establish data-quality requirements, validation rules, exception-management processes, and remediation workflows.
- Collaborate with Data Owners and Data Stewards to establish accountability and appropriate review/approval processes for master-data changes.
- Business Domain & Value Alignment
- Understand how data supports Supply Chain processes such as demand planning, inventory planning, procurement, product/master data and ERP operations, as well as related Finance measures.
- Ensure engineering priorities are connected to measurable outcomes such as inventory accuracy, planning accuracy, operational efficiency, data-quality improvement, and cost savings.
- Testing, Release & Adoption
- Define acceptance criteria and coordinate business/UAT validation of engineering deliverables.
- Validate that delivered datasets and data products meet functional requirements before release and monitor adoption, data quality, and business outcomes after implementation.
- Strong SQL skills – ability to write complex queries involving joins, CTEs, aggregations, window functions, reconciliation, exception identification, and data-quality analysis.
- Data Engineering understanding – solid understanding of ETL/ELT, data pipelines, data transformations, data models, data warehouses/lakehouses, source-to-target mappings, and data-quality frameworks.
- Databricks & PySpark familiarity – working knowledge of the Databricks environment and ability to understand PySpark notebooks/code and discuss transformation logic with Data Engineers. Deep software-engineering expertise is not required.
- Product Owner / Agile experience – demonstrated ability to manage product backlogs, write user stories and acceptance criteria, prioritize requirements, and work effectively with engineering teams in Agile delivery models.
- Stakeholder communication & requirement management – strong ability to work across technical teams, business SMEs, leadership, Data Owners and Data Stewards and translate between business and technical terminology.
- Hands on experience with Snowflake or Azure data engineering.
- Knowledge of SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB Cassandra.
- ERP and Master Data experience
- Data visualization experience using tools such as Power BI or Tableau.
- Relevant certifications in data engineering on cloud platforms.
- Basic understanding of machine learning and Generative AI concepts.
Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.
ThermoFisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Skills Required
- Strong SQL skills, including complex joins, CTEs, aggregations, window functions, reconciliation, exception identification, and data-quality analysis
- Solid understanding of ETL/ELT, data pipelines, data transformations, data models, data warehouses or lakehouses, source-to-target mappings, and data-quality frameworks
- Working familiarity with Databricks and PySpark, including understanding transformation logic and notebooks or code
- Product Owner and Agile delivery experience, including backlog management, user stories, acceptance criteria, and prioritization
- Strong stakeholder communication and requirements-management skills across technical teams, business SMEs, leadership, Data Owners, and Data Stewards
- Hands-on experience with Snowflake or Azure data engineering
- Knowledge of PostgreSQL, MySQL, MongoDB, or Cassandra
- ERP and master-data experience
- Data visualization experience with Power BI or Tableau
- Relevant cloud data-engineering certifications
- Basic understanding of machine learning and generative AI concepts
Thermo Fisher Scientific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thermo Fisher Scientific and has not been reviewed or approved by Thermo Fisher Scientific.
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Retirement Support — Retirement programs include a strong company 401(k) match and an employee stock purchase plan that add meaningful long‑term value. Feedback suggests these features stand out among core financial benefits even when base pay feels average.
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Healthcare Strength — Health coverage offers multiple national medical options alongside dental and vision, with company‑paid life and disability coverage. This breadth is considered a solid foundation even if some costs may not be the lowest among peers.
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Parental & Family Support — Paid parental and caregiver leave, backup care, adoption assistance, and specialized family resources are available. Feedback suggests these supports are a notable plus for colleagues managing family and caregiving needs.
Thermo Fisher Scientific Insights
What We Do
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
Why Work With Us
You will join a company which every colleague has the opportunity to create possibilities, for oneself, for our customers and patients. There is no more exciting place to be than at the forefront of solving problems which help improve lives around the world. As a company, we are committed to supporting your career aspirations and your journey.
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