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Open nowPosted yesterday

Director, Product Management - Compliance, Evaluations, Guardrails

fmr952 open roles

Pay
$110,000 – $222,000 a year
Where
Jersey City, NJ
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Your applicationOpen nowDirector, Product Management - Compliance, Evaluations, Guardrailsfmr · Jersey City, NJ

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. fmr postings stay open a median of 12 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

fmr median: 12 days open

The posting

Fidelity will not provide immigration sponsorship for this position.

Job Description:

The Role

Are you passionate about shaping the future of AI while ensuring it is deployed responsibly, securely, and at scale? As the Director, Product Management - Compliance, Evaluations, Guardrails within Fidelity Labs, you will lead the product strategy for the governance capabilities that enable enterprise AI adoption across Fidelity. Partnering with technology, risk, compliance, legal, and business leaders, you will build the frameworks, evaluation capabilities, and guardrails that help ensure AI solutions are effective, compliant, and aligned with enterprise standards. If you enjoy solving complex challenges at the intersection of product innovation, risk management, and emerging technology, this role offers an opportunity to make a significant impact!

The Expertise and Skills You Bring

You bring 10-12+ years of product management experience with a demonstrated track record of defining and scaling platform products, governance frameworks, or enterprise technology capabilities. You excel at balancing innovation with risk management, translating complex business and regulatory requirements into scalable product capabilities, and influencing stakeholders across business and technology organizations.

Key qualifications include:

  • 10-12+ years of experience in product management, platform strategy, governance, risk, compliance, or a related discipline
  • Proven experience leading product strategy, roadmap development, and execution for complex enterprise platforms
  • Experience building governance, evaluation, policy, risk, compliance, or control capabilities within technology products
  • Experience translating business, regulatory, and operational requirements into scalable and reusable product solutions
  • Ability to influence and drive alignment across senior leaders in technology, architecture, risk, compliance, legal, and business organizations
  • Strong understanding of modern software platforms, APIs, distributed systems, and product delivery practices
  • Experience establishing prioritization frameworks, operating models, and governance processes that support enterprise scale and adoption
  • Exceptional communication and executive presentation skills, with the ability to articulate strategy, tradeoffs, risks, and outcomes

Preferred qualifications:

  • Experience with AI/ML, generative AI, large language models (LLMs), or AI governance frameworks
  • Familiarity with model evaluation methodologies, responsible AI practices, and AI risk management principles
  • Experience within financial services or another highly regulated industry
  • Bachelor's degree or equivalent experience; advanced degree preferred

The Team

ARGOS is part of Fidelity Labs, Fidelity's innovation incubator focused on building and scaling next-generation business and customer solutions. We combine the agility and innovation of a startup with the scale and resources of an industry leader.

Our team enables enterprise AI adoption through shared platforms, governance capabilities, evaluation frameworks, and operational guardrails. Partnering across technology, risk, compliance, legal, and business teams, we help deliver AI solutions that are scalable, responsible, and aligned with enterprise standards. We are committed to fostering a culture of innovation, collaboration, and continuous learning while creating meaningful impact for our customers and associates.

This opportunity is brought to you by Fidelity Labs. Learn more at labs.fidelity.com.

#fidelitylabs

Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $110,000-$222,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:

Information Technology

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