Vice President, Data Analytics & Strategy
- Conshohocken, PA, United States
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Job details
- Posting language
- English
- Posted
Original job description
Join Hamilton Lane, a global leader in private markets, as we scale to meet the demands of our growing client base. Here, you’ll work with ambitious, high‑performing teams built on integrity, candor and collaboration, backed by our market-leading data and technology. We invest heavily in our people and our partners, giving you the platform to enrich lives, safeguard futures and grow your career.
What We Do As one of the largest private markets investment firms globally, we provide innovative solutions to institutional and private wealth investors around the world, specializing in flexibility and full-spectrum access. We currently employ approximately 800 professionals operating in offices throughout North America, Europe, Asia Pacific and the Middle East, and have $1.0 trillion in assets under management and supervision, composed of $146.1 billion in discretionary assets and $871.5 billion in non-discretionary assets, as of December 31, 2025.
The Vice President, Data Analytics & Strategy is accountable for the strategy, operating model, and performance of Hamilton Lane’s data analytics function. The role defines a focused roadmap for analytics, research, benchmarks, and data products within the firm’s broader data strategy, translating business priorities into clear deliverables. It leads the function’s people, portfolio, and execution, while partnering with Data Governance, Data Integrity, Data Architecture, and Engineering leaders on enterprise standards, data controls, architecture, and platform decisions. The role brings working knowledge of code and development practices and partners with developers to shape functional requirements, assess solutions, and oversee outcomes.
Key responsibilities
Team leadership and delivery
- Set the function’s leadership agenda and organizational model; build, lead, and develop a high-performing team of analysts, associates, and data professionals with clear accountability and decision rights.
- Own prioritization and resource planning for the function’s analytics, research, and benchmark deliverables within agreed firm priorities; surface trade-offs, dependencies, and capacity needs through established leadership forums.
- Establish delivery cadence and visibility for the function’s commitments; track scope, quality, timelines, dependencies, and risks, escalating decisions to the appropriate business, data governance, integrity, architecture, or engineering owner.
- Coordinate with senior stakeholders and data partners to clarify requirements for analytics and benchmark products, communicate delivery status and dependencies, and route decisions to the accountable business or technical owner.
- Build a culture of accountability, sound judgment, continuous improvement, and service excellence; develop the talent and capabilities required to scale the function.
Data products, research, and analytics
- Lead the design, production, and analytical use of business datasets and benchmarks - including industry-wide and deal-level outputs - that support Hamilton Lane’s decision-making and client insights. Partner with Data Integrity and Data Governance on data definitions, stewardship, controls, and issue resolution.
- Define analytical requirements and coverage for fundraising, fund-flow, and performance measures, including IRR, TVPI, TWR, cash flows, NAV, calls, distributions, and unfunded commitments. Coordinate metric definitions, source-data quality controls, and stewardship with Data Governance and Data Integrity.
- Lead data science use cases within the function, applying historical and complex datasets to identify patterns, develop predictive models, and forecast future outcomes; validate that models are fit for purpose with relevant governance and subject-matter owners.
- Set direction for data analytics that examines historical and current data to explain what has happened, quantify trends and variances, and provide decision-ready insight for investment and business leaders.
- Review key deliverables, including Industry-level and Deal-level Benchmark outputs; oversee data-driven reports, presentations, and client-facing insights.
Engineering, platforms, and data sourcing
- Define functional requirements, use cases, and acceptance criteria for analytics and benchmark products; partner with Data Architecture and Engineering on architecture, standards, repositories, and platform decisions, which remain with those teams.
- Coordinate readiness of analytics data loads and releases with Data Architecture and Engineering; monitor dependencies and operating issues for their impact on the function’s deliverables, and route technical decisions to the accountable owners.
- Bring working knowledge of code and development workflows; collaborate with developers to translate business needs into technical requirements, provide functional input on design, review solution fit, and promote reusable, tested, and documented implementations.
- Identify source-coverage needs for benchmarks and analytics; work with Data Governance, Data Integrity, and Data Architecture and Engineering to evaluate sources and agree on the appropriate collection, validation, and integration approach.
Enterprise partnership
- Work with Sales, Client Success, Product, Development, investment teams, and other functions to understand use cases and provide benchmark, analytics, and research support within agreed priorities; coordinate dependencies with leaders of Data Governance, Data Integrity, and Data Architecture and Engineering.
- Manage intake and scoping for requests to the function; translate approved needs into an execution roadmap, propose sequencing and resource needs, and coordinate teams and partners around clear outcomes.
- Lead high-priority research, analysis, and issue resolution within the function; document scope, assumptions, and escalation needs. Route data-quality and control issues to the appropriate owners and communicate delivery impacts.
Qualifications
- Significant leadership experience in data management, data engineering, analytics, research, or a related field, including accountability for teams, portfolios, and business-critical outcomes.
- Demonstrated success leading analytics, benchmarking, or research teams and delivering trusted, business-critical data products with measurable impact in partnership with governance and technical teams.
- Strong understanding of data quality, governance, aggregation, data science, analytics, and engineering practices. Working knowledge of code and experience collaborating with developers and architecture and engineering owners to define requirements, review solutions, and assess technical risk.
- Executive presence and strong leadership, communication, prioritization, and stakeholder-management skills, with the ability to align technical, business, investment, and client audiences around complex decisions and outcomes.
- Private markets or financial services experience is valuable.
Measures of success
- Critical industry-wide deliverables are reliable, analytically sound, and delivered to agreed standards and timelines through effective partnership with data governance and integrity owners.
- Data science and analytics capabilities produce validated, decision-ready forecasts and insights that influence business and investment decisions.
- Analytics and benchmark products are delivered reliably on approved platforms, with architecture, infrastructure, and vendor accountabilities clear with partner teams.
- Senior stakeholders have clear visibility into the function’s portfolio performance, material risks, and delivery commitments.
- The function scales its talent, operating model, and data products to improve decision quality, coverage, and efficiency.
Benefits
At Hamilton Lane, our benefits philosophy is simple: to provide our employees with a competitive suite of benefits and services to help navigate through the complexities and challenges of working, living, raising a family, and eventually retiring. To do this, Hamilton Lane offers the following benefits:
Enhancing Your Physical and Emotional Health Employees have access to healthcare coverage, mental health resources, health & fitness reimbursement program, and Wellness Rewards Program.
Developing Your Career Tuition and certification reimbursement programs are available, along with continual education and development trainings for you to grow with Hamilton Lane.
Supporting Your Family & Community For our communities, Hamilton Lane provides paid time off to volunteer and compensates for referring qualified candidates that join our team. For growing family, we offer an adoption reimbursement program, paid time off for new parents and newlyweds, and provide travel support for nursing parents.
Safeguarding Your Financial Wellbeing Hamilton Lane contributes to retirement programs and offers an employee stock purchasing plan.
Hamilton Lane is an affirmative action-equal opportunity employer. All qualified applicants will be considered for employment without regard to their race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.
If you need a reasonable accommodation to complete your application, please contact Human Resources at humanresources@hamiltonlane.com.
Hamilton Lane is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Hamilton Lane via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Hamilton Lane. No fee shall be paid in the event the candidate is hired by Hamilton Lane as a result of the referral or through other means.