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Senior Data Management Professional – Process Automation & Data Operations, Company Financials Data , Pune
Job Location:
Monthly Salary:
Posted:
22 August 2026 (12 days ago)
Posted:
Application Deadline:
19 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Management Professional Process Automation & Data Operations Company Financials Data Pune
Location
Pune
Business Area
Data
Ref #
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients around the clock from around the Data we are responsible for delivering this data news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to enhance our systems products and processes - all while providing platinum customer support to our clients.
Our Team:
The Company Financials team provides clients with fast and accurate market-moving data covering broker estimates financial filings and other critical datasets that help them assess financial performance. We use financial modeling industry expertise data management and technical skills to curate key metrics and extract insights from our data. Our goal is to deliver a best-in-class financial analysis and modeling product while continuously expanding and enhancing our offering.
Across Company Financials Data we are focused on building scalable observable and AI-ready data operations. This includes redesigning workflows improving process efficiency embedding automation and ensuring that financial data is delivered with the quality consistency and timeliness our clients expect.
The Role:
The Company Financials Process Automation & Data Operations team is seeking a highly motivated Senior Data Management Professional to drive operational excellence across financial data workflows. You will leverage data automation and process improvement expertise to optimize production enhance quality and controls reduce manual effort and scale AI-ready workflows. Partnering with Workflow Product Engineering and Data Operations teams you will deliver solutions that improve efficiency reliability and client outcomes.
Well trust you to:
- Analyze workflows and production data to identify bottlenecks quality risks and automation opportunities delivering scalable improvements that enhance efficiency quality and consistency
- Partner with Workflow Product Engineering vendors and other stakeholders to implement workflow automation and operational enhancements
- Build monitoring reporting quality control governance and exception management frameworks that improve visibility oversight and operational resilience
- Perform root cause analysis on production issues and develop sustainable solutions that reduce recurring operational risks
- Leverage SQL Python ETL/ELT frameworks GenAI tools and automation technologies to optimize data acquisition transformation validation and AI-ready workflows
- Measure and report on operational performance automation benefits and process improvement outcomes
- Act as a subject matter expert and mentor promoting operational excellence and continuous improvement across the organization
Youll need to have:
- Bachelors degree or higher in Computer Science Engineering Statistics Finance Operations Research Industrial Engineering or a related STEM field (or equivalent experience)
- 4 years of experience in data operations process improvement workflow automation and data governance including data quality management metadata management and operational controls
- Strong technical proficiency in SQL Python Excel ETL/ELT pipelines data transformation workflows and data visualization or workflow monitoring tools (e.g. Qlik Sense Power BI) with knowledge of data observability data quality monitoring and production controls
- Experience identifying inefficiencies and delivering measurable improvements through process optimization automation monitoring reporting and operational performance frameworks
- Experience developing and maintaining production-grade automation solutions using modern software engineering practices including version control testing CI/CD and GenAI-enabled development tools
- Strong communication and stakeholder management skills with the ability to drive cross-functional initiatives across Product Engineering Operations and Data teams
- Demonstrated continuous career growth within an organization
- Fluency in written and spoken English.
Wed love to see:
- Experience working with company financials financial statements broker estimates fundamentals or capital markets data.
- Familiarity with process improvement methodologies such as Lean Six Sigma Kaizen value stream mapping or similar frameworks.
If this sounds like you:
Apply if you think were a good match. Well get in touch to let you know what the next steps are but in the meantime feel free to have a look at this: more about our offices and benefits:
India Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
Required Experience:
Senior IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
