AI Product Manager
Turnberry Solutions · Morris Plains, NJ · 1 wk ago
MarketingContract
Duration: 8+ Months • Location: Morris Plains, NJ • Onsite work expected from day one.
About the role
Every Turnberry consultant belongs to a practice—an internal group of consultants and leaders with shared experience and expertise. As an AI Product Manager, you will join Turnberry’s Business Agility practice. The practice provides ways-of-working assessments with supporting improvement recommendations, Product Management and Agile Delivery education, team and enterprise-level Product and Agile coaching, and strategic staffing for Agile and Project-to-Product transformation journeys.
Responsibilities
- Provide business direction and product leadership for cross-functional, operational, and strategic initiatives within Specialty Pharmacy.
- Coordinate cross-functional teams and manage delivery timelines to ensure successful execution from ideation through production.
- Gather and analyze data, define requirements, track progress, and provide status reporting while ensuring proper processes are followed and documented.
- Own the end-to-end product lifecycle, including rapid prototyping, MVP development, validation, and scaled rollout.
- Define and execute AI product strategy, identifying opportunities for Generative AI, agentic workflows, and intelligent automation aligned to business value.
- Design and implement agentic AI solutions with Human-in-the-Loop (HITL) controls, balancing deterministic rules with AI reasoning capabilities.
- Drive fast experimentation cycles (build → test → iterate), leveraging modern tools and promoting a test-driven development mindset.
- Act as liaison between business, technology, and data teams to ensure alignment and resolve product or AI-related challenges.
- Monitor KPIs, trends, and product health, leveraging data to identify opportunities for product improvement and AI optimization.
- Partner with analytics and engineering teams to enable new data sources and support AI model performance and governance.
- Communicate progress, risks, and outcomes to leadership, including financial impact, ROI, and value realization.
Qualifications
- Bachelor’s degree or equivalent preferred.
- 8+ years of relevant experience in Product Management, Business Analysis, or Technology delivery, preferably in Agile environments.
- Strong understanding of business processes, data analysis, requirement decomposition, and stakeholder management.
- Demonstrated experience or working knowledge of:
- AI/ML products, Generative AI (LLMs), or intelligent automation.
- Agentic workflows or decisioning systems.
- Data-driven product development.
- Experience in rapid prototyping, experimentation, and delivering MVPs, with ability to operate under tight timelines.
- Strong technical, analytical, communication, and presentation skills.
- Proven ability to operate in a fast-paced environment, influence stakeholders, and drive cross-functional alignment.
Preferred Qualifications
- Proven experience delivering AI products from 0 → 1 (POC to production).
- Strong exposure to:
- RAG architectures.
- Prompt engineering and LLM evaluation.
- AI model monitoring and performance tuning.
- Experience building agentic AI solutions embedded in enterprise workflows, including Human-in-the-Loop (HITL) frameworks and governance controls.
- Familiarity with APIs, microservices, cloud-based architectures, and modern AI tooling ecosystems.
- Experience in Healthcare or Specialty Pharmacy (billing, claims, Rx workflows).
- Track record of delivering measurable outcomes (automation gains, cost reduction, operational efficiency).
Pay
The salary range for this role is $120,000 to $175,000 or the hourly equivalent, based on education, work experience, certifications, and other factors.
Benefits
- Comprehensive healthcare package (medical, dental, vision).
- Disability and group term life insurance.
- Health and flexible spending accounts.
- Utilization bonus.
- 401(k) with company match.
- Flexible time off for salaried employees.
- Parental leave for salaried employees.
- Flexible work arrangements.