Bloomberg

Technical Product Manager - Data AI

Bloomberg$140K — $295K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of product management or related experience leading complex technical platform initiatives
  • Proven track record of collaborating with engineers and business partners for scalable technology solutions
  • Experience managing platform-oriented products or shared infrastructure across diverse teams
  • Ability to translate operational challenges into scalable toolsets and workflows
  • Exceptional communication skills to align technical and non-technical stakeholders
  • Strong organizational capabilities with experience in designing scalable processes and frameworks
  • Adaptability in fast-paced environments with evolving priorities and technologies

Responsibilities

  • Define and evolve the vision and roadmap for AI platform capabilities supporting workflow automation
  • Collaborate with AI engineers to develop reusable tools and operational infrastructures for AI deployments
  • Identify workflow patterns with domain experts and translate business needs into scalable services
  • Establish standards and governance for responsible AI workflow adoption across teams
  • Drive alignment and execution across multiple teams balancing platform investments with operational needs
  • Measure workflow quality and ensure systems meet standards for accuracy and consistency
  • Identify technical and organizational risks and coordinate mitigation strategies for delivery

Benefits

  • Comprehensive benefits plan including medical, dental, and vision coverage
  • Paid time off and holidays
  • 401(k) plan with company match
  • Short and long-term disability benefits
  • Wellness programs and incentives
  • Opportunities for merit increases and incentive compensation
Full Job Description
Technical Product Manager - Data AI

Location

New York

Business Area

Data

Ref #

10051877

Description & Requirements

We are seeking a Technical Product Manager to help shape the future of AI-powered workflow automation. This role drives platform-oriented initiatives at the intersection of Artificial Intelligence, Data Infrastructure, and workflow automation, building scalable capabilities that enable teams across Bloomberg to automate and modernize data workflows using AI. You will lead the development of shared AI platform capabilities across multiple business domains, including classification, extraction, entity resolution, validation, and other workflows that transform unstructured information into structured, high-quality data products. Partnering closely with AI engineers, platform teams, financial domain experts, and senior leadership, you will help define the infrastructure, tooling, standards, and operational frameworks that allow AI-powered workflows to be developed, evaluated, and deployed consistently at scale.

Acting as both strategist and operator, you will bring clarity to sophisticated platform and organizational challenges, define cross-organizational priorities, and drive execution through reusable capabilities and shared standards rather than one-off solutions. In this role, you will help establish AI as a durable platform capability, delivering immediate operational impact while building the scalable foundations needed for long-term adoption and growth.

We'll Trust You To:

  • Help define and evolve the vision, roadmap, and operating model for shared AI platform capabilities that support workflow automation
  • Partner with AI engineers and infrastructure teams to develop reusable tooling, evaluation frameworks, orchestration capabilities, and operational infrastructure that enable teams to build and deploy AI-powered workflows at scale
  • Work closely with domain experts, other platform teams, and operational partners to identify common workflow patterns and translate business needs into scalable platform capabilities and services
  • Establish scalable standards, interfaces, governance approaches, and guidelines that promote consistency, interoperability, and responsible adoption of AI-powered workflows across teams
  • Drive alignment and execution across Data, Engineering, Technology, and AI teams, balancing platform investments with evolving business priorities and operational needs
  • Help define approaches for measuring workflow quality, reliability, and production readiness, ensuring AI-enabled systems meet Bloomberg's standards for accuracy, consistency, and trust
  • Proactively identify technical, operational, and organizational risks across platform capabilities, integrations, and workflow implementations; coordinate mitigation strategies to protect delivery and adoption
  • Capture findings, operationalize reusable patterns, and contribute to the broader adoption of shared AI infrastructure, platform services, and workflow automation capabilities


You'll Need to Have:

  • 8+ years of product management or related experience leading sophisticated technical platform or infrastructure initiatives end-to-end
  • A proven track record of partnering with engineers, AI/ML practitioners, and business partners to deliver scalable technology capabilities and measurable outcomes
  • Experience driving platform-oriented products or shared infrastructure that support multiple teams, workflows, or business domains
  • Solid understanding of how to translate operational or business challenges into scalable platform capabilities, tooling, and workflows
  • Exceptional communication and influencing skills, with the ability to align diverse technical and non-technical partners around shared priorities and standards
  • Demonstrated ability to bring structure to ambiguity, prioritize effectively, and drive disciplined execution across multi-functional organizations
  • Systems thinking and organizational skills, with experience designing scalable processes, frameworks, or operating models
  • Comfort operating in fast-moving environments where priorities, technologies, and organizational needs evolve over time


We'd Love to See:

  • Familiarity with AI/ML technologies such as large language models, natural language processing, evaluation frameworks, or workflow orchestration systems
  • Experience building internal platforms, developer tooling, or enterprise workflow automation capabilities
  • Experience working with large-scale data systems, operational workflows, or distributed platform environment
  • Understanding of AI governance, model evaluation, or production deployment considerations for AI-powered systems
  • Success operating in highly matrixed organizations requiring influence across teams without direct authority
  • Passion for building reusable capabilities, improving organizational effectiveness, and scaling adoption of emerging technologies responsibly


Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

About Bloomberg

Bloomberg L.P. is a privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was founded by Michael Bloomberg in 1981, with the help of Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch. Bloomberg L.P. provides financial software tools and enterprise applications such as analytics and equity trading platform, data services, and news to financial companies and organizations through the Bloomberg Terminal (via its Bloomberg Professional Service), its core revenue-generating product. Bloomberg L.P. also includes a wire service (Bloomberg News), a global television network (Bloomberg Television), digital websites, a radio station (WBBR), subscription-only newsletters, and three magazines: Bloomberg Businessweek, Bloomberg Markets, and Bloomberg Pursuits.
Learn more about Bloomberg
Size
20,000 employees
Industry
Founded
1981

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