Job Details

Primary Skills

Please find the job description below for your review and share any suitable candidates for this role. We are working with an implementation partner named Unique Minds for this role. The candidates must be a US Citizen or a Green Card holder. We are open to candidates who are okay with relocation as well. 

Important Notes:

• This is not a traditional backlog-focused Product Manager role
• Candidates must demonstrate actual hands-on AI usage, not just familiarity
• Avoid candidates who primarily focus on:
  • Jira or backlog management
  • Feature delivery without understanding business impact

Title: Product Intelligence Lead

Location: Indianapolis, IN (Hybrid: Tuesday–Thursday onsite)

Duration: 3-6 Months (Contract)

Pay Rate: $110/hr. On C2C

Position Summary:

This position focuses on driving product strategy, prioritization, and value realization through AI-powered insights and decision-making.

The Product Intelligence Lead will collaborate closely with engineering teams, business stakeholders, and Program and Portfolio leadership to ensure that product initiatives align with measurable business outcomes and consistently deliver value.

This is not a traditional Product Manager role. We are specifically seeking candidates who actively leverage AI tools (such as ChatGPT, Claude, and Copilot) to analyze data, generate insights, and support both product and business decisions.

Key Responsibilities:

Product Strategy & Roadmap

• Define and maintain product strategy aligned with business objectives
• Convert business goals into product priorities and roadmaps
• Ensure all product initiatives are connected to measurable outcomes (e.g., adoption, revenue, efficiency)

Product Prioritization & Decision Support

• Lead prioritization of product features and initiatives based on value and impact
• Assess trade-offs and present clear, actionable recommendations to stakeholders
• Push back on low-value or misaligned initiatives

AI-Driven Analysis & Insights

• Utilize AI tools (ChatGPT, Claude, Copilot, etc.) to:
  • Analyze customer and product data
  • Generate and synthesize insights
  • Support product-related decisions
• Apply structured prompting and iterative refinement to improve output quality
• Use AI to enhance both speed and effectiveness of product analysis

Customer & Product Performance Monitoring

• Monitor product performance using:
  • Usage data
  • Adoption Metrics
  • Customer feedback
• Identify gaps between delivered functionality and realized business value
• Recommend improvements based on data-driven insights

Cross-Functional Collaboration

• Work closely with:
  • Engineering teams
  • Design teams
  • Business stakeholders
• Ensure alignment between product roadmap, delivery plans, and enterprise priorities
• Facilitate coordination across multiple teams and initiatives

Integration with Model

• Partner with:
  • Program Intelligence Leads (execution)
  • Portfolio Intelligence Director (strategy)
• Provide product-level insights to inform portfolio decisions
• Contribute to tracking value realization across programs

Required Qualifications:

• 5–10+ years of experience in:
  • Product Management
  • Product Strategy
  • Digital Product Leadership
• Experience working within Agile/Scrum environments
• Experience working across:
  • Business functions
  • Engineering teams
  • Data/analytics environments
• Demonstrated ability to:
  • Define product strategy
  • Prioritize work based on value
  • Deliver measurable business outcomes

AI Requirements (MANDATORY):

Candidates must demonstrate hands-on, practical experience using AI tools in current or recent roles.

Required:

• Regular use of tools such as:
  • ChatGPT
  • Claude
  • Microsoft Copilot
• Ability to clearly explain:
  • How AI is used in day-to-day workflows
  • How prompts are structured and refined
  • How AI contributes to decision-making

Preferred:

• Experience developing or working with:
  • AI workflows
  • AI agents
  • Data-driven AI applications

Preferred Qualifications:

• Bachelor’s degree in a relevant field (Business, Engineering, Computer Science, etc.)
• Experience with:
  • Product analytics tools (e.g., Amplitude, Google Analytics, Mixpanel)
  • Data platforms (e.g., Snowflake, Databricks, Microsoft Fabric)
• Experience working with AI-enabled or digital platforms
• Background in healthcare or life sciences

Key Skills & Competencies:

• Strong data-driven decision-making skills
• AI fluency (prompting and insight generation)
• Expertise in product prioritization and trade-off analysis
• Strong executive communication abilities
• Ability to operate effectively in ambiguous environments

What Success Looks Like:

• Product roadmap clearly aligned with business outcomes
• Well-defined prioritization decisions based on value
• Increased product adoption and engagement
• Reduction in low-value or misaligned work
• Faster, insight-driven product decision-making