Director, Digital Product Management

Herbalife•,

About The Position

The Director, Digital Product Management, leads the strategy, portfolio, delivery, and adoption of Herbalife’s AI-enabled digital products and enterprise integrations. The role turns emerging AI capabilities into secure, scalable, and measurable experiences that improve how employees, distributors, customers, and internal teams work. The Director oversees the AI product portfolio, including AI platform capabilities, conversational experiences, knowledge and search, workflow enablement, and integrations with priority enterprise systems. The role sets product direction, investment priorities, operating practices, and outcome measures while balancing innovation with security, privacy, responsible use, reliability, and business value. Reporting to the Sr. Director, Digital Product Management, the Director leads and develops Product Managers and collaborates with Engineering, Data, Architecture, UX, Security, Legal, Privacy, Compliance, and business stakeholders across a distributed organization. The position is part of a product-led Digital organization focused on secure, practical AI-enabled products and integrations for employees, independent entrepreneurs, and customers worldwide.

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.

Nice To Haves

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.

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 for adoption, engagement, task completion, quality, satisfaction, efficiency, and business impact.
Communicate strategy, tradeoffs, progress, risks, and results 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, including 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.
Create feedback loops and product telemetry to continually improve AI experience quality and usefulness.
Embed responsible-AI principles throughout product discovery, design, delivery, and operations.
Partner with Security, Privacy, Legal, and Compliance to establish product guardrails for 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 use 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 distributed teams on objectives, scope, sequencing, dependencies, and delivery readiness.
Establish 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 relationships with company leaders and influence outcomes without relying solely on direct authority.
Lead, coach, and develop two Product Managers, setting 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 Digital organization.
Support hiring, onboarding, performance management, and succession planning as the AI product portfolio and team evolve.