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Ad Hoc LLC · 1 month ago

Senior Product Manager - Data / AI (Remote)

United States

Full-time

Remote

Mid, Senior Level

$120K/yr - $135K/yr

7+ years exp

Ad Hoc LLC is a technology company that empowers organizations to deliver scalable, impactful digital services. They are seeking a Senior Product Manager to lead AI and machine learning initiatives, ensuring that data and ML platforms are strategically aligned and capable of driving insights and decisions.

ComputerData ManagementSoftware

Culture & Values

Responsibilities

Lead the strategy, roadmap, and execution of advanced AI and machine learning initiatives that transform how the organization uses data to drive insights, decisions, and public-facing services

Ensure that ML and data platforms are scalable, reliable, and strategically aligned, enabling data scientists and engineers to rapidly develop, deploy, and iterate models

Implement Agile methodologies and leverage tools like Jira and Confluence to foster iterative development, transparent prioritization, and alignment across complex, cross-functional teams

Own initiatives spanning data ingestion, feature engineering, model training, deployment, and monitoring—ensuring models meet performance, trustworthiness, and compliance standards

Collaborate with leadership, product, UX, data scientist, engineering, and policy teams to deliver actionable insights, improve operational efficiency, and enable AI-powered innovation across the organization

Position the data and ML platforms as strategic capabilities, ensuring that AI and data-driven products are performant, ethical, and impactful for public health and organizational goals

Build relationships with internal and external stakeholders

Serve as a mentor and coach to other product team members

Lead cross functional efforts for delivery team members and team leads; may serve as the primary technical point of contact for stakeholders

Primarily focused on program and delivery strategy, but also supports tactical assignments

Shape the vision and narrative for the product by developing artifacts, like a 'product brief' and related roadmaps; with the goal of instilling a shared purpose and metrics to define success

Work with customers to develop strategies that focus on the highest value outcomes for the program given goals, needs, and constraints

Successfully advocate for user needs and lean methods when setting priorities and managing tradeoffs

Qualification

Data platforms managementMachine learning pipelinesAgile methodologiesCross-functional leadershipData governance awarenessAPIs understandingCloud-based ML servicesJira proficiencyConfluence proficiencyTechnical product managementML lifecycle managementAdvanced analytics knowledgeFederal/public health experienceInfluential skillsCoachingTechnical leadershipMentoring

Required

Bachelor's degree and 7+ years of experience

Significant experience (5+ years) managing data platforms, machine learning pipelines, or AI products at scale. Expertise in data ingestion, processing, modeling, and deployment workflows, including operationalizing ML models in production environments. Proven ability to define and drive product strategy, roadmap, and execution for complex, data-intensive initiatives

Ability to translate complex technical and business requirements into clear roadmaps, epics, and user stories for ML and data engineering teams

Deep understanding of APIs, data pipelines, cloud-based ML services (AWS SageMaker, GCP AI, Azure ML), and model deployment architectures

Experience defining metrics, monitoring, and observability strategies for ML and data products

Hands-on experience leading Agile processes (Scrum, Kanban, or hybrid) for cross-functional teams

Expert in using Jira, Confluence, or similar tools for backlog management, sprint planning, and stakeholder communication

Experience leading cross-functional teams of data engineers, ML engineers, data scientists, UX, and business stakeholders

Ability to influence senior leadership and align product priorities with organizational strategy, regulatory requirements, and ethical considerations

Knowledge of data privacy, security, and compliance standards relevant to sensitive datasets (HIPAA, FISMA, FedRAMP, or similar)

Ability to define policies and requirements to ensure data integrity, reproducibility, and ethical AI practices

Preferred

ML Lifecycle Management Expertise - Experience with ML lifecycle tools for model versioning, experiment tracking, monitoring, and feature store management. Familiarity with real-time or streaming data processing pipelines and operationalizing ML at scale

Advanced Analytics or Business Intelligence Knowledge - Experience translating model outputs into actionable insights for dashboards, KPIs, or decision-making frameworks

Federal/Public Health or Policy Experience - Experience applying ML/AI solutions in government, public health, or regulated environments

Technical Leadership Background - Ability to read system and ML architecture diagrams, evaluate trade-offs, and guide engineering teams toward scalable, maintainable solutions

Ability to obtain/maintain any of the following: CSPO, CPM, CSM or other related certifications