Team Leader – Quality Methods & Insights (QMI), Pune
Bloomberg is hiring a Team Leader – Quality Methods & Insights (QMI), Pune (India). Level rates it ; you can apply on Level.
AI in this role
The team:
Data Management & Operations (DMO) serves as the Chief Operations Office for Bloomberg Data, with the Quality Methods & Insights (QMI) team acting as its strategic analytics and methodology partner. QMI drives data quality, timeliness, and operational efficiency across Bloomberg's data products by establishing quality governance standards, optimizing workflows, delivering common reporting and analytics, applying decision science to support investments and operational change, and developing workflow telemetry and productivity measurement capabilities. We partner closely with Data Operations, Vendor Management, Product, and Engineering teams to ensure global data processes scale efficiently, predictably, and with measurable quality outcomes.
The role:
In this role, you will lead a regional team of process engineers, data quality analysts, decision scientists, and analytics specialists who partner directly with APAC-based Data operations, Vendor Managers, and Product Engineering. You will act as the regional ambassador for QMI’s methodologies, driving high-impact initiatives that range from operational workflow measurement and vendor quality governance to process redesign. Success in this position requires a balance of inspirational people leadership, rigorous analytical craft, and executive stakeholder management. You will champion a culture of "context over control," empowering your team to solve complex problems independently while ensuring regional deliverables seamlessly align with QMI’s global strategic objectives across London, Princeton, and New York.
We'll trust you to:
- Lead, develop, and grow a high-performing APAC team, fostering a culture of continuous learning, innovation, accountability, and technical excellence.
- Build strategic partnerships with regional Data, Operations, Product, Engineering, and Vendor Management leaders to identify priorities, align on outcomes, and drive data-driven decision making.
- Drive operational excellence through workflow measurement, process optimization, productivity benchmarking, and scalable automation initiatives, including AI-enabled solutions.
- Oversee data quality governance and decision analytics capabilities, leveraging statistical methods, experimentation, and AI evaluation frameworks to improve quality, quantify impact, and reduce operational risk.
- Partner with global QMI and Technical Project Management teams to deliver governed analytics platforms, reusable frameworks, and disciplined project execution, ensuring measurable business impact and consistent technical standards.
You'll Need to Have:
- Bachelor’s degree or higher in Statistics, Mathematics, Data Science, Operations Research, Engineering, Computer Science, Economics, or a related field.
- 5+ years of people leadership experience, with a proven track record of building, coaching, and developing high-performing analytical or technical teams.
- Strong analytical background in areas such as Applied Statistics, Decision Science, Data Quality, Operations Research, or a related discipline, with experience designing measurement frameworks and evaluating operational systems.
- Strong analytical and quantitative problem-solving skills, with experience using tools such as Python, SQL, or equivalent analytics platform
- Demonstrated ability to influence senior stakeholders, navigate complex cross-functional environments, and drive alignment across regional and global teams.
- Experience in operational performance and quality management, leveraging data-driven approaches to improve efficiency, quality, and decision-making.
- Experience leveraging AI, causal inference, Bayesian modelling, and LLM evaluation to drive operational and decision-making improvements.
- Ability to scale impact through others by setting direction, coaching teams, and establishing repeatable frameworks and operating mechanisms.
- A strategic yet execution-oriented mindset, capable of balancing long-term capability building with immediate business impact.
- Demonstrated continuous career growth within an organization
- Fluency in written and spoken English
We’d love to see:
- Familiarity with enterprise data quality and governance frameworks such as DCAM, DAMA, statistical quality monitoring, and semantic validation.
- Experience with modern data platforms and analytics architectures, including Spark, dbt, Iceberg/Delta, Lakehouses, or Knowledge Graphs.
- Knowledge of workflow management and operational tooling, such as Jira, queue management, or work routing platforms.
- Experience in financial market data, global operations, or third-party vendor management environments.
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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How we rate this
Team Leader – Quality Methods & Insights (QMI), Pune at Bloomberg rates 8 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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