Associate Director Jobs

About The Position

Requirements

• 8–12 years of experience in product management, commercial analytics, commercial operations, strategy, data products, or related disciplines.
• Demonstrated ownership of enterprise-scale product portfolios, strategic initiatives, or business capabilities with accountability for measurable outcomes.
• Proven experience building business cases, influencing executive stakeholders, and driving strategic cross-functional decision-making.
• Experience delivering data, analytics, digital, or AI-enabled products through the product lifecycle.
• Demonstrated ability to lead complex global initiatives across teams.
• Strong executive communication, stakeholder management, and organizational influence skills.
• Comfort working with data platforms, dashboards, and CRM systems (Salesforce experience a plus); ability to speak credibly with both business and technical audiences.
• Business-first mindset: starts with the commercial problem and the behavior change needed, not the technical solution.
• Global builder: designs products and standards that scale across BUs, regions, and markets — not just for one team or one market.
• Outcome-oriented: measures success by adoption, impact, and revenue outcomes — not delivery milestones alone.
• Strong collaborator: builds trust with both business stakeholders and technical teams.
• Clear communicator: writes and speaks with precision; comfortable presenting to senior stakeholders and driving crisp alignment.
• Resilient self-starter: thrives in fast-moving, cross-functional environments; builds structure and momentum without waiting for perfect conditions.
• High integrity and a bias for action.

Nice To Haves

• MBA/MS preferred.

Responsibilities

• Own the commercial data product portfolio and shape the strategic roadmap for assigned domains; make prioritization recommendations to ensure investments align with enterprise commercial priorities and strategic objectives.
• Lead prioritization decisions across competing business needs, balancing Business Unit and Regional requirements with enterprise standardization goals.
• Develop business cases, investment recommendations, value hypotheses, and success metrics for new products, enhancements, and strategic initiatives (including AI-enabled decision-making).
• Recommend roadmap sequencing, deployment strategies, and resource allocation decisions to maximize business impact and organizational capacity.
• Drive leadership alignment and secure cross-functional endorsement for product strategies, priorities, and investment decisions.
• Represent assigned product portfolios within governance processes and executive review forums, effectively communicating recommendations, tradeoffs, risks, and opportunities.
• Establish accountability frameworks that measure success through business outcomes, adoption, and value realization.
• Design, lead, and evaluate Model Cell initiatives (e.g., MVPs, pilots, and proof-of-concept testing) that validate new commercial data and AI-enabled capabilities.
• Define objectives, business hypotheses, success criteria, testing methodologies, and adoption metrics for pilot programs and scaled deployments.
• Partner with business stakeholders, analytics teams, decision scientists, and technical teams to rigorously test solutions and measure business outcomes.
• Track pilot performance, adoption trends, user engagement, and realized value to determine scalability and future investment priorities.
• Continuously refine business cases and roadmap priorities based on measurable results, stakeholder feedback, and evolving commercial needs.
• Lead successful capabilities through transition from pilot to enterprise-scale deployment, ensuring readiness for global adoption.
• Lead the end-to-end lifecycle of assigned commercial data products from opportunity identification and discovery through deployment, adoption, optimization, and retirement.
• Translate commercial strategies, business priorities, and workflow requirements into actionable product roadmaps and clearly defined product requirements.
• Own product roadmap commitments and partner with Engineering, Analytics, and Technology teams to ensure successful delivery against strategic objectives.
• Establish clear product success criteria and performance indicators to ensure products deliver measurable business value.
• Ensure commercial data products are designed for scalability, sustainability, and adoption across global Business Units and Regions.
• Maintain active feedback loops with stakeholders and end users to continuously improve product effectiveness and business impact.
• Hold stakeholders and delivery partners accountable for executing agreed-upon plans, timelines, and outcomes.
• Own metric definitions and business logic for assigned domains, ensuring consistent meaning across dashboards, reports, and models — so that “one metric” means the same thing in every region and business unit.
• Partner with Analytics Engineering to ensure semantic definitions are accurately reflected in governed data layers and standardized consumption patterns.
• Support the establishment and ongoing maintenance of the commercial business taxonomy (domains, entities, hierarchies) to drive alignment across functions and geographies.
• Flag and resolve definition conflicts across BUs and Regions, escalating where enterprise-level decisions are required.
• Contribute to governance processes that allow global standards to coexist with local flexibility — core metric standards plus permitted regional extensions.
• Influence senior leaders across Sales, Marketing, Commercial Operations, Finance, Analytics, and Technology organizations to align on priorities, investments, and strategic outcomes.
• Develop executive-ready communications, business cases, roadmap reviews, and recommendations for leadership and governance forums.
• Build consensus across diverse stakeholder groups while effectively managing competing priorities and organizational complexity.
• Escalate strategic risks, investment decisions, and critical dependencies requiring executive intervention.
• Contribute to the long-term vision and operating model for Commercial Data Products, helping shape future capabilities and organizational priorities.

Benefits

• Annual Bonus
• Health and Well-being Benefits
• Medical coverage
• Health Savings Accounts
• Flexible Spending Accounts
• Dental coverage
• Vision coverage
• Hospital Care Insurance
• Critical Illness Insurance
• Accidental Injury Insurance
• Life and AD&D insurance
• Short-term disability coverage
• Long-term disability insurance
• Long-term care with life insurance
• Other Well-being Resources
• Anxiety management program
• Wellness incentives
• Sleep improvement program
• Diabetes management program
• Virtual physical therapy
• Emotional/mental health support programs
• Weight management programs
• Gastrointestinal health program
• Substance use management program
• Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit
• Retirement and Financial Well-being
• BD 401(k) Plan
• BD Deferred Compensation and Restoration Plan
• 529 College Savings Plan
• Financial counseling
• Baxter Credit Union (BCU)
• Daily Pay
• College financial aid and application guidance
• Life Balance Programs
• Paid time off (PTO), including all required State leaves
• Educational assistance/tuition reimbursement
• MetLife Legal Plan
• Group auto and home insurance
• Pet insurance
• Commuter benefits
• Discounts on products and services
• Academic Achievement Scholarship
• Service Recognition Awards
• Employer matching donation
• Workplace accommodations
• Other Life Balance Programs
• Adoption assistance
• Backup day care and eldercare
• Support for neurodivergent adults, children, and caregivers
• Caregiving assistance for elderly and special needs individuals
• Employee Assistance Program (EAP)
• Paid Parental Leave
• Support for fertility, birthing, postpartum, and age-related hormonal changes
• Leave Programs
• Bereavement leaves
• Military leave
• Personal leave
• Family and Medical Leave (FML)
• Jury and Witness Duty Leave