Enterprise Data Product Manager - Operations
Lazard · New York City
Many of the world’s leading investors – from individuals to institutions across the globe – have entrusted us with approximately $280 billion in assets and rely on us to provide world-class investment solutions and advice. We pride ourselves on being at the forefront of complex financial markets, uncovering the best investment opportunities to deliver long-term value for our clients.
Lazard Asset Management is seeking a Senior Vice President, Enterprise Data Product Manager, within the AI and Data Transformation team, to steward the investment operations data domain across multiple regions. The domain covers holdings, transactions, valuation and NAV, and AUM data across equities, fixed income, derivatives, and FX, with potential expansion into private assets, produced largely by our outsourced middle and back office provider. Day-to-day ownership sits with our Operations and Accounting teams; this role provides the oversight, governance, and architecture that make the data trusted, business-ready, and AI-ready across the firm. LAM is a GIPS-compliant firm.
The ideal candidate has governed investment operations data at an asset manager, asset servicer, or comparable financial services business, understands the data model well enough to challenge how a provider produces it, and knows where breaks originate between front, middle, and back office. You lead through data product owners rather than around them, and you work fluently with data engineering without being an engineer or an operations processor.
We’ll trust you with:
Domain Stewardship & Data Governance
Act as data steward and governance lead for the investment operations domain, setting data definitions, business rules, classification, entitlements, and retention for accounts, products, holdings, transactions, valuation, and NAV data, and representing the domain at the firm’s data governance forum
Recommend data product owners and, in collaboration with Operations and Accounting team leads, agree their appointment, then support them in running their products against published data contracts covering definitions, quality rules, refresh SLAs, and ownership
Define the data states (preliminary, final, restated) and the certification rules for when data is fit for internal, client, regulatory, or public use, and uphold the principle that a product without a contract is not available for consumption
Domain Model & Data Product Oversight
Define the domain model and its data products, including reference data, holdings, transactions, valuation and NAV, and AUM and flows, with boundaries, grain, and relationships agreed with their owners
Oversee the quality controls that product owners operate and report on them across the domain, and steward the portfolio, account, and security cross-references so every holding joins cleanly across front, middle, and back office
Partner with Operations, Accounting, Performance, Finance, Client Reporting, Risk, Compliance, and the sales and distribution data domain to align definitions, supporting Finance as owner of AUM and flows, and retire shadow data sets in favor of governed products
Architecture & Delivery with Data Engineering
Own the logical design of the domain and its medallion structure, from raw provider ingestion through conformed layers to certified products, with full history so official figures are never overwritten
Translate business requirements into engineering specifications and hold the acceptance decision on whether a delivered product meets its contract, sequencing delivery as vertical slices by business and control value
Define consumption paths for the domain, including governed APIs, a semantic layer with certified metrics, BI access, and interfaces for AI agents, with lineage and observability monitored in production
AI & Business Readiness
Make the domain AI-ready by design, with semantic definitions, lineage, and entitlements that support agentic workflows such as break investigation, pricing and NAV review, and self-service operational queries
Make the domain business-ready, so holdings, NAV, and AUM data are produced once and consumed everywhere: client reporting, factsheets, RFPs, CRM, finance reporting, and leadership dashboards
Report progress to business and technology leadership against a roadmap, measured by governed products delivered, data quality metrics, adoption, and displacement of manual processes
You’ll need to have:
10+ years in investment operations or investment data management, with at least 3 years accountable for data governance, data quality, or data products in a business-facing role
Demonstrated success managing product and transformation initiatives from
A track record governing holdings, accounting, or AUM data across multiple asset classes at an asset manager or comparable regulated financial services business
Deep knowledge of the investment data lifecycle, book of record concepts (IBOR, ABOR), and the realities of an outsourced middle and back office model
Strong SQL and confidence working directly with data in a cloud warehouse or lakehouse; you validate results yourself rather than requesting them
Working knowledge of medallion architecture and data product concepts, and experience partnering with data engineering as the business owner
Experience writing governance artifacts and leading through data owners outside your reporting line, by influence rather than authority
Experience working across a global organization with teams in multiple regions and time zones
Credibility with senior investment and operations stakeholders, and an undergraduate degree or higher in a relevant field
It’s a bonus to have:
Familiarity with State Street Alpha
Experience with Snowflake, Databricks, or dbt, and catalog tooling such as Collibra or Unity Catalog
Experience delivering data for AI or agentic systems, including semantic definitions and entitlements for machine consumers
Experience with private assets data, or with master data programs for security, portfolio, or account masters
Relevant certifications such as CDMP or cloud data platform certifications
What we offer
We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that cares about your unique talents and passions, and will continue to invest in the development of your career.
We expect the base salary range for this role to be approximately $175,000-$200,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant’s years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, relevant skills for the role. Base salary is one component of Lazard Asset Management’s compensation package, which also includes comprehensive benefits and may include incentive compensation.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.
#LI-CN1 #LAM
Lazard Asset Management is seeking a Senior Vice President, Enterprise Data Product Manager, within the AI and Data Transformation team, to steward the investment operations data domain across multiple regions. The domain covers holdings, transactions, valuation and NAV, and AUM data across equities, fixed income, derivatives, and FX, with potential expansion into private assets, produced largely by our outsourced middle and back office provider.