At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.
Come join us in delivering better outcomes for our clients around the world!
HYBRID SCHEDULE – 3 DAYS PER WEEK IN OFFICE
Applicants for employment must have work authorization that does not now, or in the future, require sponsorship of a visa for employment in the United States.
ABOUT THE DEPARTMENT
The AI Adoption and Solutions team leads enterprise artificial intelligence transformation that directly supports business strategy and growth. The team partners with business and technology leaders to identify, design and scale AI solutions that solve complex problems and improve decision‑making. Team members operate collaboratively as advisors and solution leaders in a fast‑moving, innovation‑driven environment. Joining this team offers hands‑on exposure to enterprise initiatives, senior stakeholders and emerging technologies while helping the company remain competitive.
HOW YOU WILL ADD VALUE
As an Enterprise AI Director, you'll play a pivotal role in revolutionizing how Franklin Templeton operates by harnessing the power of artificial intelligence. You'll partner with cross-functional teams to design and implement AI solutions that enhance efficiency, improve collaboration, and unlock new opportunities for growth. Your expertise will be instrumental in helping FT stay ahead in a rapidly evolving AI landscape. Join us and be at the forefront of innovation, where your skills will make a tangible impact and propel FT into the future.
You will assess business needs and readiness for artificial intelligence adoption.
You will advise leaders on benefits, risks, and integration considerations.
You will develop artificial intelligence strategies aligned to business priorities.
You will manage adoption roadmaps, metrics, and scalability plans.
You will design and implement artificial intelligence solutions with cross‑functional teams.
You will transform end‑to‑end processes using integrated data and workflows.
You will lead enterprise adoption, change management and cultural enablement.
You will build and lead the AI Champions program across business lines.
You will deliver training to improve artificial intelligence fluency.
You will enable teams to operationalize solutions with clear ownership.
You will measure adoption and value for executive stakeholders.
You will track industry trends and provide internal thought leadership.
WHAT WILL HELP YOU BE SUCCESSFUL IN THIS ROLE
Bachelor’s degree in computer science, engineering, data science, or related field.
Advanced degrees or certifications in artificial intelligence or machine learning preferred.
8+ years in client‑facing roles with artificial intelligence consulting experience. Demonstrated experience in AI consulting, AI solutions, innovation, transformation, implementation and deployment. Familiarity with AI industry trends and use cases.
Solid understanding of business processes related to Asset Management, Wealth, Retail, Advisory, Retirement, etc.
Demonstrated experience delivering artificial intelligence solutions and enterprise transformation.
Knowledge of asset management, wealth, advisory or retirement business.
Product lifecycle experience from research through go‑to‑market execution.
Excellent ability to convey complex AI concepts into executive-level business narratives and decisions to non-technical stakeholders.
Strong interpersonal skills to build and maintain business partnership and stakeholder relationships, effectively communicate and manage expectations.
Comprehensive knowledge of AI technologies, including enterprise AI, agentic AI, machine learning algorithms, data analytics, neutral networks, natural language processing and computer vision.
Proficiency in programming languages such as Python, R or Java.
Ability to translate complex artificial intelligence concepts for executives.
Strong stakeholder management and communication skills.