Head of Product – Digital Health Data & Analytics

Key Responsibilities

• Work closely with the executive team to develop and implement the data product and analytic platform vision that aligns with overall business goals of Digital Health.
• Develop and own the end-to-end data product strategy, from ideation to production, to deliver business value and end-to-end seamless customer experience.
• Lead the development and execution of the data & analytics product roadmap. Ensure the product backlog is clearly described, estimated, and prioritized to drive the team towards the product vision.
• Define product requirements, and work with the team to write epics and acceptance criteria, ensuring alignment with the product vision and strategy.
• Ensure compliance with relevant regulations and data protection laws.
• Collaborate with the engineering team to build modular and reusable solutions supporting the product vision and strategy.
• Work closely with cross-functional teams to drive successful product launch and user adoption.
• Define and track key performance metrics, engage with internal and external customers for feedback and user needs, and drive continuous product improvements.
• Build, manage, and mentor a team of high-performing product managers and data domain owners.
• Foster a culture of creativity, collaboration, speed, innovation, and excellence, adhering to best practices and high standards.
• Be a champion and advocate of the value of data and analytics including engaging executive leadership and business stakeholders to enable data-driven decision-making.
• Act as a thought leader and voice of Alcon Digital Health Data and analytics/AI solutions in customer and partner meetings, conferences, and other public events.
• Identify and establish strategic partnerships with external vendors, technology providers, and industry experts to enhance platforms and drive innovation.
• Create, manage, and measure Objectives and Key Results (OKRs) and sub-level Key Performance Indicators (KPIs), ensuring departmental objectives and projects are completed within budget and timeframe.

Competency Profile

• Product Leader: A Leader with extensive experience in building and leading high-performing data and analytics product teams within an agile setting. Demonstrates a proven track record of successfully developing and launching data platforms and analytics/AI products in the healthcare industry.
• Thought leader and domain expert: Expert in digital health and analytics/AI, who is well-versed in the industry trends and product landscape.
• Collaborative Leader: A leader who thrives in dynamic, cross-functional team environments, fostering an open and respectful atmosphere. Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture.
• Positive and Adaptable: Approaches challenges with a positive and can-do attitude. Willing to challenge the status quo, finding new solutions and driving out of the box ideas.  
• Passionate Problem Solver: Excels in navigating ambiguous situations, leveraging a wealth of experience to identify problems and remove roadblocks for agile teams.
• Effective Communicator and Influencer: A strong communicator with exceptional influencing skills to effectively communicate with all levels of the organization (verbally and written); Proven ability to effectively build productive cross-departmental relationships and drive alignment among leaders on critical decisions.   

Key Requirements/Qualifications

Minimum Qualifications

• Bachelor’s degree in computer science, engineering, or a related technical discipline. Advanced degree or MBA preferred.

• Over 10 years of comprehensive experience in technical product management within MedTech and HealthTech companies. This includes developing product vision and roadmaps, engaging with customers, driving development, coordinating launches, and ensuring post-launch success.
• Demonstrated experience in end-to-end delivery of multiple high impact cloud-based data and/or analytics/AI products that drive better user experience and business value.  
• 5+ years of experience and proven track record of successfully leading high performing product teams in an Agile/Scrum environment.
• Extensive experience working with cross-functional teams including software engineering, data privacy and security, regulatory affairs, clinical, commercial and customer success.
• In-depth knowledge of data privacy and security-related regulatory requirements, including HIPAA, GDPR, CCPA, FDA cybersecurity for medical devices, and familiarity with security frameworks (e.g., ISO, NIST, HITRUST, SOC II).

 Preferred Qualifications:

• Experience in building and launching AI-based software as a medical device (SaMD) pro