Lazard Logo

Lazard

Enterprise Data Product Manager - Operations

Posted 16 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
175K-200K Annually
Expert/Leader
In-Office
New York, NY, USA
175K-200K Annually
Expert/Leader
Owns governance, domain modeling, quality, architecture, and delivery oversight for investment operations data products covering holdings, transactions, valuation, NAV, AUM, and flows. Partners with Operations, Accounting, Finance, and Data Engineering to establish certified, AI-ready data products, contracts, lineage, semantic definitions, and consumption paths. Leads through data product owners, influences global stakeholders, and reports roadmap progress, adoption, quality, and process automation.
The summary above was generated by AI

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

HQ

Lazard New York, New York, USA Office

30 Rockefeller Plaza, New York, NY, United States, 10112

Similar Jobs

12 Minutes Ago
In-Office or Remote
10003, New York, NY, USA
114K-180K Annually
Entry level
114K-180K Annually
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Serve as a pre-sales technical expert for DX, partnering with Account Executives throughout the sales cycle. Lead technical discovery, evaluations, proof-of-concepts, pilots, product demonstrations, and solution design involving APIs and client engineering workflows. Advise prospects on deployment and analytics integrations, translate technical concepts into business value, and relay customer feedback to Product and Engineering teams. Manage technical follow-ups across multiple opportunities.
Top Skills: APIsCi/CdGitGithub CliRestRubyRuby On RailsSQL
12 Minutes Ago
In-Office or Remote
10003, New York, NY, USA
123K-193K Annually
Mid level
123K-193K Annually
Mid level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Drive enterprise adoption of Atlassian’s Rovo AI platform through discovery workshops, custom agent design, connector configuration, production deployment, and customer enablement. Partner with enterprise teams to identify valuable AI use cases, translate business needs into technical solutions, measure outcomes, and support independent scaling. Collaborate with account teams, CSMs, product, engineering, and AI teams to improve adoption and customer value. Travel up to 15% domestically and internationally.
Top Skills: Ai AgentsAtlassianConfluenceGitGoogle DriveJIRAPrompt EngineeringRovoRovo StudioSharepointSlackThird-Party Connectors
12 Minutes Ago
In-Office or Remote
10003, New York, NY, USA
Entry level
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Responsible for acquiring new enterprise customers for Atlassian. The role is a remote, full-time sales position available in select U.S. locations within Atlassian’s distributed-first work model.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account