AI & Data Product Manager

About the role

The AI & Data Senior Product Manager at The Friedkin Group (TFG) owns the full product lifecycle — from discovery through production — and is accountable for ensuring data, analytics, and AI solutions are adopted, trusted, and deliver measurable business impact.

Responsibilities

• Translate business vision into clear technical product features, roadmaps, and design specifications — incorporating data, advanced analytics, automation, and GenAI capabilities grounded in technical feasibility.
• Act as a trusted advisor and thought partner to business leaders, recommending novel and transformative approaches to solve business problems using data & analytics.
• Identify and champion high-value AI and data product opportunities, including LLM agents, intelligent workflows, and document/process automation, with a track record of measurable business impact.
• Stay ahead of AI innovation by integrating emerging technologies (multimodal models, agentic AI, reinforcement learning) and industry best practices into product strategy.
• Own and manage the product backlog, prioritizing features based on business value, technical feasibility, and strategic alignment; write detailed user stories with clear acceptance criteria.
• Collaborate with the Scrum Master and development team to plan and prioritize releases, ensuring timely and high-quality delivery of product increments.
• Operate in a forward-deployed capacity to uncover deep technical requirements and surface emerging business needs before they become blockers.
• Work closely with project management and cross-functional product development teams to manage the delivery process, ensuring the product is built to defined requirements and user stories.
• Drive collaboration across applied science, AI engineering, data engineering, software engineering, cloud platform, and project management teams to deliver AI/ML solutions at scale.
• Partner with Business Use Case Owners to define user acceptance criteria and testing procedures; work with technical teams to define the technical testing strategy.
• Manage the technical rollout of the product, coordinating across IT, business, and product support teams; provide content needed to support business deployment.
• Translate technical details into business-friendly language for non-technical audiences, support Business Use Case Owners in developing change and enablement approaches and stakeholder communications.
• Accountable for product performance. Shared accountability for business outcomes with Business Use Case Owner.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Business Analytics, Business Administration, Engineering, Finance, Economics, or a related field — or equivalent practical experience.
• Req and Master's Degree in MBA or technical discipline.
• 10+ years professional experience in product management, product ownership, or product solutioning within enterprise technology, data, or analytics functions.
• 5+ years of direct experience owning data pipelines, analytics platforms, machine learning, or AI products end to end.
• 3+ years’ experience working in Agile/Scrum development environments.
• 3+ years of hands-on experience defining, scoping, or shipping GenAI or Agentic AI-enabled products; working knowledge of LLM capabilities, limitations, prompt engineering, and responsible AI principles as they apply to enterprise deployment.
• Hands-on experience with data and analytics technologies such as SQL, Python, Machine Learning, and/or analytics technology.
• Preferred 3+ years’ experience in Data & Analytics or a related industry (e.g., automotive, financial services, logistics, or operations-heavy domain).
• Strong understanding of Agile methodologies and experience working in an Agile and hybrid development environment.
• Track record of shipping production AI solutions (e.g., LLM agents, intelligent workflows, document/process automation) with measurable business impact.
• Experience designing, building, and maintaining secure API integrations with leading AI platforms (OpenAI, Azure AI, AWS SageMaker) and cloud-native AI services.
• Familiarity with microservice and event-driven architectures that integrate with enterprise systems.
• Proficient knowledge of cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms such as Databricks or Dataiku.
• Working knowledge of modern data stacks (APIs, ETL/ELT, data lakes, event buses) and at least one programming/scripting language (Python, TypeScript, PySpark, or SQL) for prototypes and technical review.
• Proven track record of leading cross-functional teams to successfully deliver complex, data-driven and GenAI products in ambiguous, fast-paced environments.
• Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels of the organization.
• Strategic thinker with strong analytical skills, capable of making data-driven decisions and adapting product strategies based on performance and market trends.
• Able to thrive in a highly collaborative, fast-paced environment where the nature of the work can be varied.
• Certified Scrum Product Owner Professional Scrum Product Owner (PSPO), SAFe Product Owner/Manager or equivalent Agile Certification Preferred.
• Certified Project Management Professional (PMP)-PMI a plus.

Qualifications

• Physical and Environmental Requirements: The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.
• Travel Requirements: 20%

Skills

• Technical Skills: Proficient knowledge of cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms such as Databricks or Dataiku.
• Working knowledge of modern data stacks (APIs, ETL/ELT, data lakes, event buses) and at least one programming/scripting language (Python, TypeScript, PySpark, or SQL) for prototypes and technical review.

Benefits

Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

Pay

Compensation is based on skill set, experience, qualifications, and job-related requirements. We offer a competitive and fair compensation structure.

Schedule

We operate in a forward-deployed capacity to uncover deep technical requirements and surface emerging business needs before they become blockers.

Join Us

The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates. We are seeking candidates legally authorized to work in the United States, without Sponsorship.