Pune, IND Posted yesterday

Bloomberg L.P.; Pune District; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

Bloomberg L.P. in Pune is seeking a Senior Data Management Professional to drive operational excellence across financial data workflows in Company Financials Data.

You will leverage data and automation to optimize production, improve quality, and scale AI-ready processes, partnering with Workflow, Product, Engineering, and Data Operations teams. You will analyze bottlenecks, implement automation, and build governance frameworks to enhance visibility and resilience, while mentoring others and

Qualifications

• 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 proficiency in SQL, Python, Excel, ETL/ELT pipelines, data transformation workflows, and data visualization or workflow monitoring tools (Qlik Sense, Power BI)
• Experience identifying inefficiencies and delivering measurable improvements through process optimization, automation, monitoring, reporting, and operating performance frameworks
• Experience developing and maintaining production-grade automation solutions with version control, testing, CI/CD, and GenAI-enabled development tools
• Strong communication and stakeholder management skills 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, 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 pipelines, 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

Skills

SQL

Python

Excel

ETL/ELT

Data transformation

Data visualization

Workflow monitoring

Data observability

Data quality monitoring

Production controls

English fluency

Stakeholder management

Education

Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Finance, OR related STEM field

Tools

Qlik Sense

Power BI

Job description

Senior Data Management Professional – Process Automation & Data Operations, Company Financials Data , Pune

Location

Pune

Business Area

Data

Ref #

10052997

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 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.

Learn more about our offices and benefits:

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

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Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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