Director, Digital Product Management

Herbalife is seeking a Director, Digital Product Management to lead the strategy, portfolio, delivery, and adoption of AI-enabled digital products and enterprise integrations. The role sets product direction and responsible-AI practices, guides cross-functional execution, and develops a team of Product Managers.

Responsibilities:

• Define and lead the vision, strategy, multi-year roadmap, and investment priorities for AI products and integrations
• Translate business goals, user needs, technical opportunities, and risk requirements into a prioritized portfolio of product outcomes
• Identify, validate, and scale high-value AI use cases across employee, distributor, customer, and operational experiences
• Establish product success measures spanning adoption, engagement, task completion, quality, customer or employee satisfaction, efficiency, and measurable business impact
• Communicate strategy, tradeoffs, progress, risks, and results clearly to senior leaders and cross-functional partners
• Lead the end-to-end product lifecycle, from discovery and product definition through experimentation, delivery, launch, adoption, measurement, and continuous improvement
• Partner with Engineering, Data, and Architecture to guide scalable AI capabilities such as model access, orchestration, knowledge retrieval, search, workflow integrations, analytics, and observability
• Define product requirements and evaluation standards for AI experiences, including accuracy, relevance, usability, safety, reliability, transparency, and appropriate human review
• Ensure AI products are purposeful and user-centered, solving meaningful problems rather than introducing technology for its own sake
• Create feedback loops and product telemetry that continually improve the quality and usefulness of AI experiences
• Embed responsible-AI principles throughout discovery, design, delivery, and operations
• Partner with Security, Privacy, Legal, and Compliance to establish pragmatic product guardrails, including data handling, access controls, content safety, appropriate-use patterns, auditability, and issue escalation
• Define when AI-generated outputs require human review, approval, or other safeguards before being relied upon in operational workflows
• Balance rapid experimentation with appropriate product readiness, governance, and risk management
• Own product direction for integrations between AI experiences and priority digital platforms, enterprise tools, knowledge sources, and business workflows
• Align teams across a distributed environment on objectives, scope, sequencing, dependencies, and delivery readiness
• Establish clear product operating rhythms for intake, prioritization, roadmap planning, stakeholder alignment, release readiness, and business-outcome reviews
• Resolve complex product tradeoffs and unblock decisions across product, engineering, design, data, and business stakeholders
• Build durable relationships with leaders across the company and influence outcomes without relying solely on direct authority
• Lead, coach, and develop two Product Managers, setting clear ownership areas, objectives, and growth plans
• Create a high-performing, remote-first team culture grounded in trust, accountability, customer insight, product craft, and data-informed decisions
• Establish standards and reusable practices that strengthen AI product-management capability across the broader Digital organization
• Support hiring, onboarding, performance management, and succession planning as the AI product portfolio and team evolve

Requirements:

• 10+ years of experience in digital product management, product strategy, or a related discipline, with a record of leading complex, technology-enabled products
• 3+ years of people leadership experience, including coaching and developing Product Managers or comparable product talent
• Demonstrated ownership of product strategy and roadmaps across multiple products, platforms, or significant cross-functional initiatives
• Experience bringing AI, machine-learning, generative AI, conversational, search, knowledge, automation, or data-driven products to market or enterprise adoption
• Experience partnering with engineering teams on APIs, integrations, cloud platforms, data products, and enterprise systems
• Strong fluency in product discovery, user research, analytics, experimentation, agile delivery, prioritization, and outcome measurement
• Excellent written, verbal, and executive communication skills, including the ability to make complex technical topics accessible and actionable
• Strong judgment in managing product risk, privacy, security, and responsible-AI considerations
• Proven ability to lead effectively in a remote, distributed, and highly cross-functional environment
• Bachelor's degree or equivalent experience
• Experience leading enterprise AI platforms, internal AI assistants, knowledge/search experiences, or AI-enabled workflow products
• Familiarity with AI product patterns such as retrieval-augmented generation, model evaluation, prompt and response design, AI quality measurement, and observability