AI Marketing Strategy Manager
Telix Pharmaceuticals Limited
June 24, 2026
Remote friendly (United States)
United States
Marketing
AI Marketing Strategy Manager
Key Accountabilities
- Define the AI roadmap for Marketing, identifying use cases that drive personalization, automation, predictive targeting, and operational efficiency.
- Establish frameworks for AI adoption, governance, and compliance, ensuring ethical, brand-safe, and data-secure usage.
- Act as the internal thought leader on AI in marketing, educating stakeholders on emerging trends, risks, and opportunities.
- Collaborate with Digital Marketing, Communications, IT, and Analytics teams to translate strategic AI opportunities into operational solutions.
- Partner with Commercial, Medical, and Market Access teams to explore cross-functional AI applications (e.g., customer insights, omnichannel orchestration, sentiment analysis, and forecasting).
- Ensure AI initiatives are scalable, measurable, and business-aligned.
- Build and document repeatable frameworks for testing, adopting, and measuring AI tools and technologies.
- Lead vendor evaluations, pilots, and partnerships with AI solution providers.
- Establish KPIs and reporting dashboards to track AI impact on efficiency, engagement, and revenue.
- Develop training and enablement programs to safely and effectively use AI tools.
- Drive change management for smooth adoption of AI within the marketing organization.
Education and Experience
- Bachelor’s degree in Marketing, Business, Data Science, or related field; advanced degree preferred.
- 5+ years in Marketing Strategy, Digital Marketing, or Innovation; 2–3+ years focused on AI, MarTech, or data-driven marketing.
- Strong understanding of AI applications in marketing (generative/agentic AI, predictive analytics, personalization, content optimization).
Key Capabilities / Skills
- Connect AI technologies to business objectives and marketing strategy.
- Build partnerships across marketing, IT, data, and commercial teams.
- Drive technology adoption and manage resistance to change.
- Translate technical AI concepts into measurable business outcomes.
- Analytical skills: set KPIs, measure impact, optimize continuously.
- Present complex ideas clearly and influence stakeholders at all levels.
Continuous learning: Commit to ongoing professional development.
Key Accountabilities
- Define the AI roadmap for Marketing, identifying use cases that drive personalization, automation, predictive targeting, and operational efficiency.
- Establish frameworks for AI adoption, governance, and compliance, ensuring ethical, brand-safe, and data-secure usage.
- Act as the internal thought leader on AI in marketing, educating stakeholders on emerging trends, risks, and opportunities.
- Collaborate with Digital Marketing, Communications, IT, and Analytics teams to translate strategic AI opportunities into operational solutions.
- Partner with Commercial, Medical, and Market Access teams to explore cross-functional AI applications (e.g., customer insights, omnichannel orchestration, sentiment analysis, and forecasting).
- Ensure AI initiatives are scalable, measurable, and business-aligned.
- Build and document repeatable frameworks for testing, adopting, and measuring AI tools and technologies.
- Lead vendor evaluations, pilots, and partnerships with AI solution providers.
- Establish KPIs and reporting dashboards to track AI impact on efficiency, engagement, and revenue.
- Develop training and enablement programs to safely and effectively use AI tools.
- Drive change management for smooth adoption of AI within the marketing organization.
Education and Experience
- Bachelor’s degree in Marketing, Business, Data Science, or related field; advanced degree preferred.
- 5+ years in Marketing Strategy, Digital Marketing, or Innovation; 2–3+ years focused on AI, MarTech, or data-driven marketing.
- Strong understanding of AI applications in marketing (generative/agentic AI, predictive analytics, personalization, content optimization).
Key Capabilities / Skills
- Connect AI technologies to business objectives and marketing strategy.
- Build partnerships across marketing, IT, data, and commercial teams.
- Drive technology adoption and manage resistance to change.
- Translate technical AI concepts into measurable business outcomes.
- Analytical skills: set KPIs, measure impact, optimize continuously.
- Present complex ideas clearly and influence stakeholders at all levels.
Continuous learning: Commit to ongoing professional development.