Lead the incubation and scaling of innovative engagement solutions, including AI agent use cases, pilot programs, and commercialization frameworks
Lead efforts in function to embed AI into functional workflows, ensuring AI solutions enhance decision-making, operational efficiency, and business impact.
Translate future-state vision into execution-ready solutions that enhance field productivity, customer engagement, and enterprise impact.
Sponsor pilots and scenario planning to test and scale new engagement models.
Field Technology & Platform Optimization
Own field-facing platform integrity, ensuring systems work smarter, faster, and more aligned to field needs
Elevate reporting and dashboarding capabilities to enhance insight delivery and decision-making.
Establish performance objectives for other in functional AI efforts, leads and implement metrics to measure AI’s impact on functional and business goals, ensuring AI value realization is consistently assessed.
Operational Process Redesign
Lead reengineering of CE business processes to support modern field workflows and tech enablement
Ensure seamless integration of innovations into CE systems and field operations.
Drive process modernization in partnership with cross-functional stakeholders.
Enterprise Engagement & Stakeholder Alignment
Collaborate with senior leaders across CE, IDS, and therapeutic areas to ensure innovation efforts are co-created and adopted.
Represent Intelligence & Innovation in enterprise forums and cross-functional leadership teams.
Embed agile feedback loops and customer insights into innovation cycles.
Capability & Culture Activation
Foster a culture of innovation and data-driven decision making within each function to promote knowledge-sharing, cross-functional collaboration, and the scaling of successful AI initiatives.
Partner with Capability, Change, and Communications teams to support transformation through scalable learning and storytelling.
Foster cross-functional collaboration and field-first innovation mindset.
Leadership Expectations:
This role includes direct people leadership responsibilities, guiding a high-performing team within CE to deliver on AI and process excellence goals.
The Executive Director will be expected to lead with clarity, agility, and influence across a dynamic, cross-functional environment.
Lead and Develop People: Create focus and clarity by translating strategic objectives into actionable plans for functional areas, including setting clear goals and priorities, ensuring alignment with organizational vision and functional area objectives
Empower teams by providing constructive feedback, removing barriers to success, and holding them accountable for their performance
Invest in the growth and development of team members, helping them expand their impact within the functional areas
Build self-awareness to understand personal strengths and areas for improvement, using this insight to maximize positive impact on the team and enhance the delivery of integrated insights.
Navigate Complexity:
Demonstrate the ability to enable impactful and fast decision-making by serving as a primary point of contact between functional area / senior leadership and the IDS functions, quickly assessing situations, weighing options, and making informed choices that drive functional area success.
Identify key issues in complex situations, maintaining focus on the big picture of the asset lifecycle while adapting and prioritizing as circumstances change.
Exhibit a long-term vision by taking a broader view of the organization and its environment, considering indirect consequences and longer-term implications of decisions.
Deliver Collective Impact:
Demonstrate the ability to engage with others and integrate diverse perspectives from functional area and IDS senior leadership to articulate a clear and compelling narrative and achieve the best strategic outcomes.
Skilled at influencing and collaborating across boundaries without relying on formal authority, building strong relationships and leveraging interpersonal skills to drive initiatives and achieve common goals.
Proactively challenge assumptions and ensure decisions are grounded in data, enhancing the quality and impact of insights delivered.
Build situational awareness by understanding the dynamics of the functional and adapting leadership style accordingly to improve insights and team performance.
Requirements
Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA or PhD preferred.
10+ years of experience in AI strategy, enterprise technology transformation, or digital innovation—in complex B2B environments.
Proven track record of leading AI/ML initiatives from concept to commercialization, including governance, model development, and deployment at scale
Deep understanding of MLOps, GenAIOps, and LLMOps practices, with experience in building and managing AI pipelines and platforms
Deep understanding of the functional area landscape, including strong focus on strategic insights, decision science, and/or analytics within the respective domain
Strong grasp of CRM systems, workflow automation, and field technology optimization, with ability to translate user needs into scalable tech solutions
Experience in managing cross-functional teams and partnerships across data science, engineering, commercial strategy, and field operations.
Demonstrated ability to drive operational excellence through AI-powered insights, predictive analytics, and process redesign
Proven leadership experience and executive presence in driving AI adoption, managing cross-functional teams, and influencing senior stakeholders to align AI initiatives with business goals.
Benefits
medical
financial
401(k) eligibility
paid time off
vacation
sick time
parental leave
sign-on bonus
restricted stock units
discretionary awards
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI strategyenterprise technology transformationdigital innovationAI/ML initiativesMLOpsGenAIOpsLLMOpspredictive analyticsprocess redesignworkflow automation