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Team Leader, Process Automation and Data Operations, Company Financials Data, Pune
Job Location:
Monthly Salary:
Posted:
23 August 2026 (16 hours ago)
Posted:
Application Deadline:
20 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Team Leader Process Automation and 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.
The 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:
We are seeking a hands-on Process Automation Team Leader to drive operational excellence across Company Financials data production. You will lead process optimization automation and performance improvement initiatives that reduce manual effort strengthen controls and improve quality efficiency and scalability. Partnering closely with Workflow Product Engineering and vendor teams you will translate improvement opportunities into practical solutions while overseeing operational performance across the data lifecycle.
Well trust you to:
- Lead coach and develop a team of data professionals fostering accountability collaboration and continuous improvement.
- Drive operational excellence by monitoring queue health throughput operational metrics quality indicators timeliness and exception trends using data-driven insights to optimize performance and ensure accurate efficient and consistent delivery.
- Establish operational governance through dashboards quality controls standard operating procedures documentation training and escalation processes that strengthen workflow visibility issue detection production oversight and consistent execution.
- Design implement and continuously enhance scalable automation solutions that reduce manual effort improves operational efficiency and enable AI-ready governed workflows and structured data outputs.
- Partner with Workflow Product Engineering vendors and other stakeholders to implement and scale workflow and automation enhancements.
Youll need to have:
- Bachelors degree (or higher) in a STEM field such as Computer Science Engineering Data Science Mathematics Statistics Operations Research or equivalent practical experience
- 5 years of experience in Data Operations Process Improvement Automation Industrial Engineering Operations Research or a related field with 3 years of people leadership experience
- 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 driving operational excellence by improving workflows reducing manual effort simplifying processes and applying data management best practices including data quality process controls operational metrics issue management and workflow documentation
- Strong analytical and problem-solving skills with experience leveraging operational dashboards and metrics (e.g. throughput SLA performance defect rates queue aging rework and productivity) to identify trends root causes bottlenecks and continuous improvement opportunities
- Experience leveraging automation and AI technologies including GenAI-assisted development tools AI coding assistants or agentic AI workflows to improve software development operational processes and scalable automation solutions
- Effective communicator and collaborator with experience partnering across Engineering Product Operations vendors and global stakeholders
- Demonstrated continuous career growth within an organization
- Fluency in written and spoken English
Wed love to see:
- Experience working with financial statements company financials broker estimates fundamentals or adjacent capital markets data
- Experience with process improvement methodologies such as Lean Six Sigma Kaizen root cause analysis or process mapping
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:
Manager
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
