Director - Product Insights & Platform Intelligence- ADC

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Role Description:

The Director, Product Management — Product Insights & Platform Intelligence will define and lead the cross-product vision, strategy, roadmap, and lifecycle management for data-driven, analytics-enabled, and AI-enabled insights across Abbott Diabetes Care’s digital ecosystem.

This role will establish a coherent product insight strategy spanning the Libre app, LibreView, and EHR-connected workflows. The Director will identify high-value opportunities to transform authorized glucose, device, and contextual data into clear, trustworthy, evidence-based insights for people using Libre, healthcare professionals, care teams, and health-system partners.

The role owns the shared insight layer—including insight strategy, portfolio prioritization, product requirements, data/model capability needs, evaluation criteria, shared platform capabilities, and value realization. This role works in close partnership with the Directors of Consumer Product and HCP Product, who lead their respective product experiences, workflows, user interfaces, content, and channel roadmaps. This collaborative structure promotes strong alignment and a cohesive experience across channels. This role partners with them to ensure insights are consistent, reusable, evidence-backed, and appropriately adapted for each audience.

The Director will also lead product strategy for evaluating, building, licensing, and integrating third-party data, analytics, AI, and machine-learning capabilities. The role is accountable for strategic and product fit, while technical, clinical, quality, regulatory, privacy, security, legal, procurement, and supplier-approval decisions remain subject to applicable functional ownership and governance.

Key Responsibilities

1. Platform intelligence product vision and portfolio strategy

• Define and communicate the multi-year vision, product strategy, and roadmap for platform intelligence, analytics, and AI-enabled insights across the Libre digital ecosystem.
• Establish a unified strategy for reusable insight capabilities supporting:

• Consumer-facing experiences in the Libre app and LibreLinkUp
• HCP and care-team workflows in LibreView
• Health-system, interoperability, and EHR-connected workflows

• Ensure the product insight portfolio supports a cohesive ecosystem experience and avoids duplicative, conflicting, or inconsistent analytics across products.

2. Shared platform insight platform and product requirements

• Define product requirements for shared platform insight-generation capabilities, including:

• Intended users, needs, and expected decisions or actions
• Data inputs, provenance, quality, recency, and minimum data-sufficiency thresholds
• Insight logic, output format, explanation requirements, and confidence signaling
• User controls, permissions, consent, and data-sharing considerations
• Interoperability, API, reliability, scalability, latency, and availability requirements
• Monitoring, auditability, and lifecycle-management expectations

• Establish common definitions, taxonomy, and governance for concepts such as insights, patterns, baselines, trend changes, data quality, confidence, and outcome metrics.
• Partner with Software Engineering, Data Science, Data Engineering, Architecture, and UX to develop scalable and reusable platform capabilities rather than channel-specific point solutions.
• Ensure insights include appropriate supporting evidence so users and clinicians can understand why an insight was surfaced and when it should not be relied upon due to insufficient data.

3. Partnership with Consumer, HCP, and EHR product leaders

4. AI, external data, and technology capability strategy

• Define the product strategy for internal and external data, analytics, AI, machine-learning, and platform capabilities required to deliver the clinical intelligence roadmap.
• Translate business, customer, clinical, and workflow needs into clear requirements for internally developed, licensed, partnered, or reused capabilities.
• Lead product-level build, buy, partner, or reuse assessments, considering:
• Co-lead market scans and vendor evaluations with Data Science, Engineering, Enterprise Architecture, Procurement, Finance, Privacy, Security, Legal, Clinical, Quality, Regulatory, and Medical Affairs, as appropriate.
• Define product acceptance criteria and launch-readiness requirements for third-party and internally developed models, datasets, analytics services, and AI platforms.
• Develop recommendations to invest in, scale, improve, replace, pause, or retire data and AI capabilities based on evidence, product performance, cost, customer value, and strategic priorities.

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