Private Markets Secondary Data & AI Vice President

Posted 6 Days Ago
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New York, NY, USA
In-Office
175K-190K Annually
Senior level
Financial Services
The Role
Lead analytics, AI, automation, and client-data-product initiatives for private markets secondaries. Design intelligence layers, AI-enabled extraction, standardized reporting, and client/RFP datasets. Drive data standards, governance, automation, and cross-functional delivery to improve data quality, scalability, and actionable insights.
Summary Generated by Built In

Business Overview:

Neuberger is building a high-performance Secondary Data Strategy capability to strengthen data quality, analytical insight, and scalable reporting across its private markets secondaries platform. The team operates at the intersection of investment data, technology, and business process design, partnering across investment, product, and operational stakeholders to improve how data is captured, structured, and activated.

Position Overview:

The Private Markets Secondary Data & AI Vice President is a senior onshore hire for the Secondary Data Strategy team. This role owns the analytics, AI, automation, and client-data-product layer of the function, with a focus on judgment- and design-heavy work. The individual will lead the intelligence layer supporting the team’s secondary data strategy, including AI-based data extraction, RFP and client datasets, and advanced reporting and analytics, while driving cross-functional coordination across business and technology partners.

Primary Responsibilities:

  • Lead the analytics and data product agenda for the Secondary Data Strategy workstream, translating business needs into scalable reporting, insight, and workflow solutions.

  • Design and enhance the intelligence layer that supports secondary investment data, including standardized reporting outputs, analytical views, and downstream client deliverables.

  • Drive AI- and automation enabled data extraction initiatives to improve efficiency, consistency, and scalability in how investment and market data are captured and structured.

  • Oversee the development and maintenance of client and RFP datasets, ensuring data is decision useful, presentation ready, and aligned with stakeholder needs.

  • Partner cross-functionally with investment teams, product specialists, technology, data management, and operations to prioritize and execute strategic initiatives.

  • Help define data standards, governance expectations, and quality controls for critical secondaries related datasets and reporting outputs.

  • Identify opportunities to improve reporting frameworks, automate recurring analytical processes, and build higher value data products for internal and external use.

  • Contribute subject matter expertise on secondary market data structures, reporting needs, and process design in support of broader team development.

Experience & Skills Qualifications:

  • 6–9+ years of relevant experience in analytics, data products, business intelligence, financial data strategy, or a related function.

  • Strong background in analytics, data product development, or data strategy, with the ability to convert complex business requirements into practical solutions.

  • Hands-on experience applying AI/ML to unstructured document and data extraction (e.g., LLMs, NLP, OCR, intelligent document processing) to convert deal, fund, and market documents into structured data.

  • Practical understanding of large language models and generative AI, including prompt engineering and evaluating model outputs for accuracy, reliability, and hallucination risk.

  • Ability to design and oversee AI-enabled data pipelines and automation workflows, including human-in-the-loop validation and quality controls.

  • Awareness of responsible/governed AI practices: data privacy, model governance, auditability, and appropriate use of third-party vs. internal AI tooling.

  • Strong communication and stakeholder management skills, with the ability to lead cross-functional initiatives.

  • High degree of ownership, structured problem-solving ability, and comfort operating in a build-and-improve environment.

  • Private markets or secondaries domain knowledge is highly preferred.

Preferred Qualifications:

  • Familiarity with CapIQ, PitchBook, Preqin, and Bloomberg.

  • Working knowledge of VBA, SQL and/or Python.

  • Experience with data modeling, reporting architecture, or financial data structures.

  • Private equity secondaries experience or closely related private markets exposure.

  • Experience with AI/ML frameworks and tooling (e.g., Python ML libraries, LLM APIs/frameworks such as OpenAI, Claude, or similar).

Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Compensation Details

The salary range for this role is $175,000-$190,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact [email protected].

Learn about the Applicant Privacy Notice.

Skills Required

  • 6-9+ years relevant experience in analytics, data products, BI, or financial data strategy
  • Hands-on experience applying AI/ML to unstructured document and data extraction (LLMs, NLP, OCR, intelligent document processing)
  • Practical understanding of large language models and generative AI, including prompt engineering and model evaluation
  • Ability to design and oversee AI-enabled data pipelines and automation workflows, including human-in-the-loop validation and quality controls
  • Awareness of responsible/governed AI practices (data privacy, model governance, auditability)
  • Strong communication and stakeholder management skills
  • High degree of ownership and structured problem-solving ability in a build-and-improve environment
  • Authorized to work in the country of the role without current or future sponsorship
  • Private markets or secondaries domain knowledge
  • Familiarity with CapIQ, PitchBook, Preqin, Bloomberg
  • Working knowledge of VBA, SQL and/or Python
  • Experience with AI/ML frameworks and tooling (Python ML libraries, LLM APIs/frameworks such as OpenAI or Claude)
  • Experience with data modeling, reporting architecture, or financial data structures

Neuberger Berman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Neuberger Berman and has not been reviewed or approved by Neuberger Berman.

  • Retirement Support Employer-funded retirement contributions are widely highlighted as a standout perk that materially strengthens total rewards. Feedback suggests this benefit often offsets concerns about lower cash compensation.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is characterized as solid and reliable. Feedback suggests health benefits are a stable pillar of the package.
  • Leave & Time Off Breadth PTO and paid leave are commonly viewed as supportive within the industry context. Feedback suggests time-off policies contribute meaningfully to perceived overall value.

Neuberger Berman Insights

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The Company
HQ: New York, NY
2,667 Employees
Year Founded: 1939

What We Do

Neuberger Berman, founded in 1939, is a private, independent, employee-owned investment manager. The firm manages a range of strategies—including equity, fixed income, quantitative and multi-asset class, private equity, real estate and hedge funds—on behalf of institutions, advisors and individual investors globally. With offices in 25 countries, Neuberger Berman’s diverse team has over 2,400 professionals. For eight consecutive years, the company has been named first or second in Pensions & Investments Best Places to Work in Money Management survey (among those with 1,000 employees or more). In 2020, the PRI named Neuberger Berman a Leader, a designation awarded to fewer than 1% of investment firms for excellence in Environmental, Social and Governance (ESG) practices. The PRI also awarded Neuberger Berman an A+ in every eligible category for our approach to ESG integration across asset classes. For important disclosures: http://www.nb.com/linkedin

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