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Director, Business Intelligence & Data Management Manager

BNY Mellon · Pune, MH, India
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Pune, MH, India
languages
python
tools
dbt, snowflake
> stack
pythondbtsnowflakeairflowdbt
> description

Director, Business Intelligence & Data Management Manager — Markets Engineering

 

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Director, Business Intelligence & Data Management Manager — Markets Engineering, to join our Markets  team. This role is located in Pune.

 

In this role, you’ll make an impact in the following ways: 

  • This role will drive the technical build-out of a scalable, enterprise-grade data platform that unlocks advanced analytics, reporting, data mining, machine learning, and Generative AI capabilities across the Execution Services application ecosystem. The successful candidate will build smarter — not just faster — by automating routine tasks while driving architectural and strategic advancements.
  • Lead technical contributions to the design, development, and delivery of the Execution Services Data Platform on Enterprise Snowflake.
  • Architect and implement scalable data pipelines and data models using Snowflake, Airflow, DBT, and Python within an Enterprise Data Mesh framework.
  • Enhance data accessibility by providing business users with both programmatic and ad-hoc access to comprehensive data, enabling advanced analytics, reporting, data mining, ML, and Generative AI capabilities.
  • Eliminate data silos by integrating disparate data sources across the Execution Services application ecosystem into a unified, governed platform.
  • Drive cost optimization by removing redundant data copies and reducing infrastructure and maintenance overhead.
  • Adopt and enforce enterprise standards for managing "ADS" data in Snowflake through EDS/EDP federation.
  • Apply AI technologies to automate routine data engineering tasks, improve data quality, and accelerate platform delivery.
  • Collaborate cross-functionally with business stakeholders, data consumers, and enterprise platform teams to align platform capabilities with strategic data commercialization goals.
  • Mentor and guide junior engineers, fostering a culture of engineering excellence and continuous innovation.
  • Design for scale — implement solutions that rapidly scale to meet increasing data volume and user demand.

 

To be successful in this role, we’re seeking the following: 

  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
  • Experience: 7+ years of hands-on data engineering experience, with a proven track record of building and managing enterprise-scale data platforms.
  • Snowflake: Demonstrated expertise in designing and optimizing data solutions on the Snowflake platform.
  • Airflow: Proficiency in building, scheduling, and monitoring complex data pipelines using Apache Airflow.
  • DBT (Data Build Tool): Strong experience with DBT for data transformation, testing, and documentation within a modern data stack.
  • Python: Advanced proficiency in Python for data engineering, automation, and tooling.
  • Data Architecture: Solid understanding of Data Mesh, data federation, and enterprise data governance patterns.
  • AI/ML Awareness: Working knowledge of AI technologies and their practical applications in data engineering and analytics workflows.


At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn 

 

 Here’s a few of our recent awards: 

  • America’s Most Innovative Companies, Fortune, 2025

  • World’s Most Admired Companies, Fortune 2025

  • “Most Just Companies”, Just Capital and CNBC, 2025


Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. 

 

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.