Director, Data Analytics

HPS Investment Partners, a part of BlackRock, is a leading global, credit-focused alternative investment manager that seeks to provide creative capital solutions and generate attractive risk-adjusted returns for our clients. We manage various strategies across the capital structure, including privately negotiated senior debt; privately negotiated junior capital solutions in debt, preferred and equity formats; liquid credit including syndicated leveraged loans, collateralized loan obligations and high yield bonds; asset-based finance and real estate. The scale and breadth of our platform offers the flexibility to invest in companies large and small, through standard or customized solutions. At our core, we share a common thread of intellectual rigor and discipline that enables us to create value for our clients.

The IT Data Analytics team is responsible for sourcing, processing, distributing data internally and externally. The team covers data needs across all aspects of investment analysis, portfolio management, back-office processing, investor reporting, and regulatory filings. Data Analytics team members collaborate closely with SMEs across Front Office, Back Office, Investor Relations, Tax, Legal, Management Company in delivering data reporting and analytics technology solutions.

Position Description 

HPS is seeking an Executive Director to lead and expand the firm’s India‑based Data & Analytics organization. This individual will be responsible for building, scaling, and managing a high‑performing team in Mumbai while driving the firm’s global data strategy, architecture, engineering, and reporting capabilities. 

The Executive Director will partner closely with Portfolio Management, Operations, Finance, Risk, Investor Relations, Technology leadership, and external vendors to deliver mission‑critical data products and modernize PFS’s enterprise data ecosystem. In addition, this role will play a key part in enabling PFS’s AI and advanced analytics capabilities by building AI‑ready data foundations, supporting generative AI use cases, ensuring responsible, governed use of AI across the firm.  

Responsibilities 

Leadership & Team Build‑Out

• Build, manage, and grow the India Data & Analytics team, establishing Mumbai as a core global delivery hub. 

• Drive recruiting, onboarding, mentoring, performance management, and leadership development. 

• Develop organizational structure, operating model, and succession planning for India‑based teams. 

Program Delivery 

• Oversee end‑to‑end delivery of enterprise‑grade data applications, including requirements, analysis, design, development, testing, deployment, and ongoing support. 

• Deliver analytics and reporting solutions supporting Senior Management, Investor Relations, Business Development, Front Office PMs/Analysts/Traders, Risk, Operations, and Finance. 

• Integrate third‑party platforms and vendor systems into PFS’s internal data architecture. 

• Establish and maintain strong relationships with external vendors, ensuring effective collaboration, service quality, and alignment with data strategy. 

Strategy & Architecture 

• Own the evolution of PFS’s global data architecture, ensuring scalability, resiliency, and alignment with business growth. 

• Lead the design and implementation of modern data platforms, data pipelines, governance frameworks, metadata, lineage, observability, and quality controls. 

• Drive architectural modernization across Snowflake, Azure, BI platforms, and other data ecosystems. 

  Cross‑Functional Partnership 

• Represent the India Data & Analytics organization in cross‑functional planning forums. 

• Partner with front‑to‑back business teams - including Portfolio Management, Risk, Operations, Finance, Legal, Compliance, IR, and Technology leadership to define and execute data needs. 

  Operational Excellence 

• Establish and refine offshore–onshore workflows ensuring quality, predictability, and efficiency. 

• Drive continuous improvement through automation, best practices, and ongoing process optimization. 

Candidate Profile  

• 12+ years of experience in financial services technology, with significant leadership responsibilities.  

• Deep expertise in data architecture, data engineering, and enterprise data warehousing.  

• Strong expertise in Snowflake, Azure Synapse, Databricks, or similar cloud data platforms.  

• Additional experience with Coalesce/DBT, Azure Synapse, Azure Data Factory or related technologies. 

• Outstanding SQL and data modeling skills; strong understanding of data quality, metadata, lineage, and distributed systems.  

• Experience with Sigma, Microsoft BI ecosystem (Power BI, SSRS, Power Apps) or similar technologies.  

•  Support adoption of generative AI for data exploration, analytics, and reporting workflows (e.g., natural language querying, automated insights, narrative reporting). 

•  Establish governance, controls, and best practices for AI usage, including model inputs, data quality, explainability, lineage, and regulatory considerations. 

• Collaborate with Technology leadership on evaluation and integration of AI platforms, cloud-native AI services, and vendor solutions. 

•  Ensure AI initiatives align with PFS’s data security, privacy, and compliance standards. 

• Familiarity with credit‑related asset classes (bank loans, bonds, CLOs, credit derivatives, FX forwards).  

• Proven ability to build and scale offshore/onshore hybrid teams.  

• Excellent communication and stakeholder‑management skills.  

• High degree of professionalism, integrity, and business ethics. 

• Prior experience managing vendor relationships and contracts is a plus. 

• Bachelor’s or master’s degree in computer science, Engineering, or related field  

• Degree from a Tier‑I engineering institute (IIT / NIT / BITS / equivalent) preferred 

Hybrid Work Schedule and Shift Timings

• 4/1 split

• This role requires working a late shift to support stakeholders across EMEA and US time zones (2 PM to 11 PM)