Head of AI/ML
Head of AI & Data Science
Franklin Templeton · Financial Services / Asset Management · 5000+ employees · 📍 Stamford, CT
Franklin Templeton is hiring a senior leader to industrialize and scale an enterprise AI/ML platform within Investment Technology Solutions, directly embedding data science into portfolio construction, risk, and trading workflows across global asset classes.
AI Maturity
building
Reports To
CTO
Why Role Exists
Transformation
Company Stage
public
Source
linkedin
Key Responsibilities
- Translate investment challenges into scalable ML/analytics solutions in partnership with front-office investment teams
- Develop and productionalize alpha signals, risk models, optimization engines, liquidity analytics, and scenario modelling
- Design and implement cloud-enabled data science platform including feature stores, MLOps, and deployment pipelines into investment systems (Aladdin, Axioma, WSO)
- Extend AI capabilities across Risk, Finance, Operations, and Distribution aligned to ITS priorities
- Represent data science in enterprise AI governance and model risk management forums
Requirements
- Deep expertise in machine learning, quantitative analytics, and investment-domain data science
- Experience deploying production ML/MLOps platforms in financial services or investment management
- Familiarity with investment platforms such as Aladdin, Axioma, or Wall Street Office
- Demonstrated ability to partner with front-office investment teams (PMs, CIOs, Research)
- Leadership experience building and scaling cross-functional, globally distributed data science teams
Signals
- ⚠ No salary or compensation range disclosed
- ⚠ Role reposted — same title appeared in company history as recently as May 2026, suggesting prior candidate fell through or role was not filled
- ⚠ Broad scope spanning front-office alpha generation through enterprise AI governance may indicate unclear organizational boundaries
- ⚠ Team size not specified — unclear whether inheriting an existing team or building from scratch
- ✓ Clear, three-pillar mandate with measurable investment performance outcomes expected
- ✓ Direct access to CIOs and senior investment leadership
- ✓ Named integration with established institutional platforms (Aladdin, Axioma) signals real infrastructure investment
- ✓ Enterprise-wide AI governance seat signals executive visibility and organizational influence
- ✓ Company history confirms this is a sustained strategic priority, not opportunistic hiring
Company History
Role was posted previously (May 2026) under an identical title, suggesting either the earlier search did not result in a successful hire or the selected candidate did not remain — warrants a direct question to recruiters about team continuity and role stability.