About this role
PFS is seeking a Vice President, IT Data Analytics to join the firm’s technology organization in Mumbai. This is an end‑to‑end analytics engineering role with a primary focus on enabling AI‑driven analytics, combining data engineering, analytics modeling, business intelligence, and AI integration in support of HPS’s Public & Private Credit, CLO, and Long/Short Credit investment platforms.
The Vice President will design and deliver analytics‑ready data pipelines, curated data models, and BI solutions, while shaping how AI capabilities are researched, evaluated, and incorporated into analytics and reporting platforms Business and Technology teams to identify AI opportunities and translate business needs into scalable data, analytics, and AI‑enabled solutions used directly by the business.
This role is suited for a hands‑on analytics engineering leader who acts as an AI enabler, bringing research, judgment, and practical experience to embed AI into end‑to‑end data and BI workflows.
Responsibilities:
AI Enablement
Act as an AI enabler for the Data Analytics organization by identifying, 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.
Guide the 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 how Snowflake, and BI platforms are used to support analytics and AI enablement.
Evaluate and integrate third‑party tools, platforms, and vendor solutions that support analytics and AI capabilities.
Establish observability, data quality, and monitoring standards to support trust in analytics and AI‑enabled outputs.
Collaboration & Team Contribution
Work closely with business stakeholders to identify analytics 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 all development directly.
Mentor team members on analytics engineering and AI enablement concepts.
Candidate Profile
8+ years of relevant experience in data analytics, analytics engineering, data engineering or BI engineering
Experience within financial services (credit, hedge fund, asset management, or related domains) is preferred
Hands‑on experience implementing AI‑enabled analytics 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 and inter-personal skills
Highest degree of business ethics and professionalism.
Strong appreciation for architecture, analysis, problem solving, testing, and agile development
Ability to perform business analysis, as well as manage and maintain various user relationships
Proven experience in team management, mentoring staff, and driving group success
Demonstrated track record of academic and professional achievement
Bachelor’s or master’s degree in computer science, Engineering, or related field
Degree from a Tier‑I am engineering institute (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.