Product Manager

Join us at the forefront of innovation as we launch and scale a cutting-edge AI-driven decision science product within our emerging products portfolio. This is a strategic leadership role focused on shaping the product's vision, driving its growth, and delivering impactful solutions, not just managing projects. If you're passionate about harnessing AI to transform decision-making and thrive in a dynamic environment, we want to hear from you!

Responsibilities

• Own the end-to-end product lifecycle for a new AI and decision science product.
• Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.
• Lead cross-functional teams (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.
• Convert complex analytical and technical concepts (AI agents, knowledge retrieval, forecasting) into intuitive user experiences and actionable business capabilities.
• Integrate user research, usability studies, market analysis, and evolving AI agent capabilities into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).
• Guide solution testing and evaluations (AI agent evaluations, software tests, and A/B testing) to ensure accuracy, reliability, and business impact.
• Partner with customer stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.
• Work with data stakeholders across the enterprise to understand, translate, and develop new access paths to different data domains.
  
  

Basic Qualifications

• At least 7 years of experience, including product management for technology-based data/analytics or software products, and/or novel data science and advanced analytics solution development.
• At least 2 years of experience leading cross-functional, agile teams in a matrixed environment.
• A dedicated, effective leader who collaborates effectively with team members and business partners to help them succeed.
• Proven ability to translate technical requirements and analytical methods into customer-facing features and business outcomes.
• Experience partnering closely with engineering, data science/decision science, data engineering, and UX/design functions.
• Ability to synthesize user research, usability testing, market analysis, and evolving technological capabilities to drive prioritization and product strategy.
• Strong executive communication skills with the ability to simplify complex analytics into clear, actionable recommendations.
• Familiarity with statistical/ML concepts, forecasting and/or optimization, and data visualization; ability to query and analyze data (e.g., SQL, Python).
• Active commitment to fostering a diverse, equitable, and inclusive team environment.
• A self-starter: highly entrepreneurial, curious, and motivated to develop their technical skills, process knowledge, and business acumen.
  
  

Preferred Qualifications

• Experience in media, video games, parks & experiences, or other entertainment-related consumer domains.
• Success launching enterprise-scale AI, analytics, or data products and integrating them into business processes.
• Hands-on familiarity with developing AI agent tools.
• Experience with data visualization tools (e.g., Tableau) and experimentation platforms.
• Consulting experience and/or product operations partnership to scale adoption and sustainment.
  
  

Required Education

• BA/BS Degree Comp Sci/IS or related field.
  
  

Benefits

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
  
  

Additional Responsibilities

• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
  
  

About Us

At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cybersecurity, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.