Bloomberg

Global financial data, news, analytics provider

Senior Data Management Professional - Process Automation & Data Operations, Company Financials Data

Data ManagementConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or higher in Computer Science, Engineering, Statistics, Finance, Operations Research, Industrial Engineering, or a related STEM field, or equivalent experience.
At least four 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 such as Qlik Sense or 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.

Responsibilities

Analyze workflows and production data to identify bottlenecks, quality risks, and automation opportunities, and deliver 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.

Desired Qualifications

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.

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 world. In 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.

We'll 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

You'll need to have:

Bachelor’s 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.

We'd 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 we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Learn more about our offices and benefits:

India | https://www.bloomberg.com/India

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About the Company

Bloomberg

Global financial data, news, analytics provider

Bloomberg provides financial data, news, and analysis to help professionals make informed decisions and operate more transparently and efficiently. Its products deliver trusted information and insights through technology platforms that connect global financial communities, enable collaboration, and support decision-making. The company differentiates itself by offering broad, reliable data and news across markets, strong customer focus, and a culture that emphasizes collaboration, broad perspective, and doing the right thing for clients, people, and communities. Bloomberg’s goal is to improve market transparency and efficiency by delivering accurate information and tools that empower customers to act confidently and ethically.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, New York
Founded: 1981

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