Vice President, IT Data Analytics

About this role

PFS Investment Partners, a part of BlackRock, is a leading global, credit-focused alternative investment manager thatseeksto 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 loanobligationsand high yield bonds; asset-based finance and real estate. The scale and breadth of our platformofferthe flexibility to invest incompanies 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 teamis responsible forsourcing, processing, distributingdata internally and externally. The team covers data needs across all aspects of investment analysis, portfolio management, back-officeprocessing, investor reporting, and regulatory filings. Data Analytics team members collaborate closely with SMEs across Front Office, Backoffice, Investor Relations, Tax, Legal, Management Company in delivering data reporting and analytics technology solutions.

Position Description

PFSis seeking a Vice President, IT Data Analytics to join the firm’s technology organization in Mumbai. This is anend‑to‑endanalytics engineering role with aprimary focus on enablingAI‑drivenanalytics, combining data engineering, analytics modeling, business intelligence, and AI integration in support ofHPS’sPublic & Private Credit, CLO, and Long/Short Credit investment platforms.

The Vice President will design and deliveranalytics‑readydata pipelines, curated data models, and BI solutions, while shaping how AI capabilities are researched, evaluated, and incorporated into analytics and reporting platformsBusinessand Technology teams to identify AI opportunities and translate business needs into scalable data, analytics, andAI‑enabledsolutions used directly by the business.

This role is suited for ahands‑onanalytics engineering leader who acts as anAI enabler, bringing research, judgment, and practical experience to embed AI intoend‑to‑enddata and BI workflows.

Responsibilities: 

AI Enablement

• Act as an AI enabler for the Data Analytics organization byidentifying, researching, and evaluating AI and generative AI use cases across analytics and reporting.

  
  

• Define patterns, standards, and best practices for incorporating AI into data, analytics, and BI workflows. 

  
  

• Partner with engineering,platform, and business teams to enable AI capabilities. 

  
  

• Guidethe integration of AI outputs into dashboards, reports, and analytical workflows used by Portfolio Management, Risk, Operations, Finance, and Investor Relations. 

  
  

• Ensure AI usage aligns with data quality, explainability, governance, security, and compliance expectations.

  
  

Platforms, Architecture & Integration 

• Shape howSnowflake,and BI platforms are used to support analytics and AI enablement. 

  
  

• Evaluate and integratethird‑partytools, platforms, and vendor solutions that support analytics and AI capabilities. 

  
  

• Establish observability, data quality, and monitoring standards to support trust in analytics andAI‑enabledoutputs.

  
  

Collaboration & Team Contribution

• Work closely with business stakeholders toidentifyanalytics and AI opportunities, define success criteria, and prioritize initiatives. 

  
  

• Act as a bridge between business users, data engineering, BI teams, and technology leadership. 

  
  

• Support offshore/onshore delivery models by providing direction, review, and enablement rather than owning alldevelopmentdirectly. 

  
  

• Mentor team members on analytics engineering and AI enablement concepts.

  
  

Candidate Profile

• 8+ years of relevant experience in data analytics, analytics engineering,dataengineeringor BI engineering

  
  

• Experience within financial services (credit, hedge fund, asset management, or related domains) is preferred

  
  

• Hands‑onexperience implementingAI‑enabledanalytics or generative AI use cases in production environments.

  
  

• Strong SQL skills with experience building complex analytical transformations

  
  

• Experience with Snowflake, Azure Synapse, Databricks, Azure Data Factory, or similar cloud data platforms

  
  

• Experience with BI and analytics tools such as Power BI, SSRS, Power Apps, Sigma, or similar platforms

  
  

• Strong written and verbal communication abilities andinter-personalskills

  
  

• Highest degreeofbusiness ethics and professionalism.

  
  

• Strong appreciation for architecture, analysis, problem solving, testing, and agile development

  
  

• Ability to perform business analysis, as well as manage andmaintainvarious user relationships

  
  

• Proven experience in team management, mentoring staff, and driving group success

  
  

• Demonstratedtrack recordof academic and professional achievement

  
  

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

  
  

• Degree from aTier‑I am engineeringinstitute (IIT / NIT / BITS / equivalent) preferred

  
  

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.