Director, AI Content Strategy & Capabilities

AstraZeneca•Gaithersburg, MD

9d•$186,014 - $279,021•Hybrid

About The Position

Are you ready to turn AI into measurable content impact across global commercial teams? In this director-level role, you will connect real business needs with practical AI capabilities to transform our AI Content Supply chain across all of the ways we interact with healthcare stakeholders. You will be part of an agile group of AI practioners who influence AI content strategy & decisions across the enterprise. Working alongside marketing, medical affairs, and technology partners, you will identify high-value AI content opportunities, prove value fast, and scale what works—improving quality, speed-to-market, personalization, and compliance. Do you thrive at the intersection of AI and Content strategy & delivery, turning ambiguous opportunities into outcomes that matter for patients and the business?

Requirements

Bachelor’s degree is required.
Minimum of 7 years of relevant experience.
Ability to lead the identification, prioritization, and rapid realization of AI content opportunities across commercial content functions.
Experience partnering closely with global and local marketing and medical affairs content stakeholders to understand content challenges, uncover high-impact AI content use cases, and translate emerging AI capabilities into practical, value-generating content solutions.
Deep understanding of AI content technologies and strong commercial insight to recognize content opportunities where AI can meaningfully improve content quality, speed-to-market, personalization, and compliance.
Proven track record championing a test-and-learn delivery model by developing focused AI content capabilities that can be rapidly deployed and evaluated by content stakeholders, generating measurable commercial outcomes and scaling successful solutions through iterative delivery and continuous learning.
Ability to promote simplicity, speed, and outcome-oriented execution, balancing appropriate governance with rapid value realization while minimizing unnecessary complexity and organizational overhead.
Proven capability to act as a bridge between commercial content needs and AI innovation, ensuring opportunities move efficiently from concept to measurable business value while maintaining alignment with Commercial AI (AIC) priorities.
Experience partnering with AI, data science, IT, and product development teams to translate opportunities into practical, scalable AI content solutions and driving iterative development from proof-of-value through deployment and adoption, focused on user needs, measurable outcomes, and commercial impact.
Experience designing and overseeing AI-driven capabilities that strengthen content compliance and process resilience through intelligent automation and proactive quality management across authoring, review, approval, and localization.
Strong communication skills to develop compelling narratives, demonstrations, and executive-ready communications that highlight measurable business impact, showcase successful adoption, and increase awareness of emerging AI content opportunities.
Ongoing awareness of emerging AI content technologies, platforms, and market developments, including support for proof-of-value activities, technology assessments, and adoption recommendations aligned with enterprise standards, governance, architecture, and security requirements.
Demonstrated ability to increase visibility of outcomes, drive stakeholder engagement and adoption, and inform broader investment, prioritization, and scaling decisions.

Nice To Haves

Demonstrated ability to leverage AI to improve content creation, review speed, consistency, risk mitigation, compliance monitoring, decision support, exception management, and content quality checks while reducing manual effort.
Experience coordinating specialist resources and external partners to supplement internal capabilities for rapid experimentation, accelerated validation, and efficient delivery of targeted AI content solutions.
Familiarity with enterprise delivery frameworks and the integration of rapid experimentation into standardized processes without compromising security, quality, or compliance.
Strong prioritization and decision-making approach that accelerates development cycles and aligns AI development activities to commercial content priorities.

Responsibilities

Lead the identification, prioritization, and rapid realization of AI content opportunities across commercial content functions. Translate emerging AI capabilities into practical, value-generating solutions that improve content quality, speed-to-market, personalization, and compliance. Champion a test-and-learn delivery model to validate concepts early, generate measurable commercial outcomes, and scale successful solutions while maintaining alignment with Commercial AI (AIC) priorities.
Partner closely with AI, data science, IT, and product development teams to convert content opportunities into scalable high-impact AI solutions. Facilitate collaboration between the business, content domain experts and technical specialists, driving iterative development from proof-of-value through deployment and adoption. Align resources to maximize delivery speed, business value, and adoption, while ensuring rapid experimentation complements enterprise delivery processes and standards.
Design and oversee AI-driven content capabilities that strengthen compliance and process resilience across authoring, review, approval, and localization. Embed intelligent automation and proactive quality management to improve speed, consistency, and risk mitigation, reduce manual effort, and increase reliability, scalability, and continuity of critical content pipelines.
Communicate value, outcomes, and lessons learned from AI content initiatives through compelling narratives, demonstrations, and executive-ready communications. Increase visibility, stakeholder understanding, and engagement to build momentum for AI-driven content transformation and innovation.
Maintain awareness of emerging AI content technologies, platforms, and market developments. Support proof-of-value activities, technology assessments, and adoption recommendations by evaluating fit with content and business needs, coordinating with enterprise architecture, aligning with security requirements, defining implementation effort, and calculating expected benefits, enabling informed decisions and accelerated value.