Technical Product Manager - Healthcare Analytics

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.

Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.

Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.

Join our team as the expert you are now and create your future.

The Technical Product Manager will oversee the development, implementation, and success of multiple analytics-based products and offerings within the healthcare domain. This role requires a blend of technical expertise, strategic vision, and a deep understanding of healthcare processes and emerging technologies. The ideal candidate will drive innovation, enhance financial outcomes and influence patient care positively through streamlining insights from broad based healthcare data assets through advanced analytics solutions. This role involves conducting market research, defining product strategies and roadmaps, collaborating with cross-functional teams, and ensuring the delivery of high-value analytics products that meet or exceed customer needs and drive business growth.

Key Responsibilities:

1. Product Vision, Strategy and Roadmaps:

• Develop and communicate a clear vision and strategy for enriched healthcare data assets and services linked to analytics solutions and products.

• Align solution goals and roadmaps with the key practice areas and strategies for growth in both services and products.

• Develop and manage analytics solutions that provide insights across the continuum of healthcare data assets. Ensure these solutions are seamlessly integrated into key stakeholder workflows to enhance decision-making and operational efficiency.

• Drive innovation by integrating emerging technologies such as natural language queries and agentic AI.

2. Drive Plans across Product Management and Engineering intersects

• Lead the product / solution lifecycle from ideation to launch and adoption.

• Collaborate with cross-functional teams to identify differentiated capabilities that deliver high-quality analytics products and insight-based solutions.

• Ensure products meet regulatory requirements and industry standards.

• Mentorship and Guidance: Mentor and guide business analysts, and product owners on best practices related to market validation, requirements gathering and documentation, user stories creation and quality, and Agile methodologies and intersects.

3. Stakeholder Engagement:

• Act as the primary point of contact for product-related analytic solutions-based inquiries working across diverse stakeholder groups.

• Gather requirements from across stakeholders including users, buyers, consultants, sellers, customer success for value-add creation and acceleration of positive business outcomes

• Ensure alignment on product goals, priorities and timelines.

• Customer Value Evangelism: Work to evangelize the customer value and usage of analytics products and services, positively impacting healthcare through clinical quality comparisons, outcome and cost of care insights, and predictive analytics infused into healthcare workflows.

4. Performance Analysis and Reporting:

• Regularly analyze product performance metrics.

• Use data-driven insights to iterate and improve products continually.

• Report findings to key stakeholders.

5. Focus areas for Success:

• Data Asset curation, integrations and management: Oversee the identification, vetting and integration of diverse healthcare data sources into centralized databases, ensuring data accuracy and accessibility.

• o Advanced Analytics: Implement predictive analytics and AI-driven insights to improve patient outcomes and operational efficiency.

• o Natural Language Processing (NLP): Develop solutions that leverage NLP for querying healthcare data, enabling intuitive and efficient data retrieval.

• o Agentic AI: Utilize agentic AI to automate routine analytics tasks and provide real-time decision support to healthcare providers.

Skills and Experience:

Technical Skills:

• Database Management: Proficiency in SQL and other query languages for managing and analyzing large healthcare data sets.

• Data Analytics: Experience with healthcare analytics platforms and tools.

• AI and Machine Learning: Knowledge of AI technologies, including agentic AI and NLP/NLQ.

• Cloud Computing: Familiarity with AWS and cloud-based solutions for healthcare data · Big Data Technologies: Experience across data architectures with big data frameworks like Hadoop or Kafka as examples.

• ETL Tools: Expertise in ETL tools such as Apache or Informatica for building and managing data pipelines.

Emerging Technologies in Healthcare Analytics:

• Natural Language Queries: Enhance data accessibility by allowing healthcare professionals to query databases using natural language, improving efficiency and user experience.

• Agentic AI: Automate routine analytics tasks and provide real-time decision support, reducing workload and improving decision-making.

Domain Expertise:

• Healthcare Processes: Understanding of clinical and financial workflows, patient care, and healthcare regulatory frameworks.

• Healthcare Technology: Experience across the healthcare data domains and technology landscape of providers, payers, and key supplies/ partners within the healthcare technology domain.

Soft Skills:

• Leadership and Presence: Ability to lead cross-functional teams and manage complex projects across diverse levels of experience in a matrixed organization.

• Communication: Strong communication skills to articulate technical concepts to non-technical stakeholders.

• Analytical Mindset: Analytical mindset with the ability to translate complex ideas into clear, actionable requirements. Experience in measuring and analyzing product performance metrics and making data-driven decisions.

• Problem-Solving: Analytical mindset to identify and address challenges in product development, implementation, and adoption to value streams.

Experience:

• Product Management: Minimum of 5+ years of experience in product management and or engineering, data science with a focus on analytic based solutions and healthcare data sets.

• Technical Background: Background in product management, computer science, data science, or related field.

• Healthcare Analytics: Proven track record in managing healthcare analytics products and solutions.

The estimated base salary for this job is $175,000 - $200,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $218,750 - $270,000. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

Position Level

Director

Country

United States of America