Principal Technical Product Manager

Caring. Connecting. Growing together.

Primary Responsibilities:

• AI Focused Product Managers
• Define and drive the roadmap of AI-powered products by translating customer needs and market opportunities into scalable, technically feasible solutions, while aligning closely with engineering and research teams
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Key Skills:

• AI fluency (LLMs, ML lifecycle, GenAI capabilities)
• Product strategy, customer empathy, agile delivery
• Metrics-driven decision-making (A/B testing, KPIs)
• Competitive analysis and market research
• Notion, Jira, Figma (for wireframes), Power BI, LangChain (for prototyping)

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Healthcare Informatics, or a related field Master's or MBA preferred
• 12+ years of progressive leadership experience in enterprise technology, analytics, or automation, with at least 5 years in the healthcare industry
• Proven experience managing large-scale AI/ML product life cycle, leading MLOps, RPA Ops, and Cloud Migration
• Experience in digital transformation initiatives in payer, provider, or healthcare services organizations
• Healthcare Domain Expertise
  • Experience working with population health, care management, revenue cycle, or value-based care analytics
  • Deep understanding of healthcare data ecosystems, including EHRs, claims, clinical data, and interoperability standards (e.g., HL7, FHIR)
  • Familiarity with healthcare regulations and compliance frameworks (e.g., HIPAA, HITECH)
• Technical & Strategic Expertise
  • Hands-on experience with MLOps, model deployment, and monitoring
  • Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
  • Familiarity with AIML governance, ethics, and responsible AI practices
  • Solid grasp of AI/ML technologies, intelligent automation (RPA, IPA), and cloud platforms (e.g., AWS, Azure, GCP)
  • Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
  • Proven expertise in LLMs, generative AI, and deep learning
  • Demonstrated ability to translate healthcare business needs into scalable, high-impact technology solutions
• Leadership & Influence
  • Experience in building and leading high-performing, diverse teams across geographies
  • Proven exceptional executive presence with the ability to influence and communicate effectively with C-level stakeholders
  • Proven solid change management skills with a track record of driving cultural and operational transformation