Head of Data Science Technology Solutions

Franklin Templeton • Boston, MA

1d • Hybrid

About The Position

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! The Head of Data Science will lead the development of a globally scalable, AI-enabled data science capability within Investment Technology Solutions (ITS), delivering advanced analytics and machine learning solutions that directly enhance investment outcomes across asset classes. Reporting to the Head of ITS, this role will bridge front-office investment teams and enterprise technology—ensuring that data science capabilities are platform-based, industrialized, and embedded into portfolio construction, risk management, and investment operations workflows. The mandate combines three core objectives: Deliver measurable impact to investment performance and risk management. Build and scale an enterprise-grade data science and AI platform. Establish a globally collaborative operating model aligned to ITS strategy.

Requirements

• 10+ years’ experience in asset management, capital markets, or quantitative investment technology environments.
• Demonstrated leadership building and scaling data science or quantitative analytics teams within a technology-enabled operating model.
• Proven track record delivering production-grade AI/ML solutions embedded in investment platforms.
• Experience operating in regulated financial services environments.
• Deep understanding of: Multi-asset portfolio construction and optimization, Risk modelling and stress testing, Market structure, liquidity dynamics, and execution considerations.
• Strong command of statistical modelling, machine learning, and time-series analysis.
• Experience integrating alternative datasets into investment workflows.
• Familiarity with cloud-native data architectures, distributed compute, and MLOps frameworks.
• Experience working with enterprise investment platforms (e.g., Aladdin, Wall Street Office, Axioma) strongly preferred.
• Technology-forward leader with strong investment credibility.
• Product-oriented and outcome-driven.
• Comfortable operating in a global, matrixed ITS organization.
• Strong communicator capable of influencing senior investment and technology stakeholders.

Nice To Haves

• CFA designation strongly preferred.
• Advanced degree (PhD/MSc) in quantitative finance, statistics, mathematics, computer science, or related discipline desirable.

Responsibilities

• Investment-Focused Delivery: Partner closely with CIOs, Portfolio Managers, and Research Heads to translate investment challenges into scalable analytical solutions. Develop and productionalize alpha signals, risk models, optimization engines, liquidity analytics, and scenario modelling capabilities. Ensure analytics are embedded within portfolio construction, trading, and risk systems (e.g., Aladdin, Wall Street Office, Axioma or equivalent platforms). Drive quantifiable improvements in performance attribution, risk-adjusted returns, drawdown management, and portfolio efficiency.
• Data Science Platform & Architecture: Design and implement a robust, cloud-enabled data science platform supporting: Research and experimentation environments, Feature stores and reusable signal libraries, Model development, validation, and testing frameworks, MLOps and model lifecycle management, Deployment pipelines into investment and risk platforms. Ensure architecture supports cross-asset reuse, security, auditability, and regulatory compliance. Align platform standards with broader ITS data and infrastructure strategy.
• Enterprise & Cross-Functional AI Enablement: Collaborate with Risk, Finance, Operations, and Distribution teams to extend AI capabilities where aligned to investment technology priorities. Contribute to enterprise AI initiatives including stress testing automation, operational intelligence, and advanced reporting analytics. Represent ITS Data Science in enterprise AI governance and model risk forums. Promote responsible AI principles including explainability, transparency, and bias mitigation.
• Organizational Build & Global Scale: Establish and scale a high-performing global data science organization embedded within ITS. Develop a federated delivery model supporting regional investment teams across market hours. Create clear differentiation between quantitative research, data science, AI engineering, and ML platform engineering roles. Implement strong talent development pathways to build deep capital markets and vendor platform expertise.
• Product Mindset & Value Realization: Operate data science as a product capability, with defined roadmaps, prioritization frameworks, and measurable value tracking. Establish adoption metrics and performance KPIs for all deployed solutions. Balance near-term market support needs with longer-term platform innovation.
• Governance & Controls: Implement robust model validation, monitoring, and lifecycle management processes. Ensure compliance with model risk management standards and regulatory expectations. Maintain data lineage transparency and documentation standards aligned with ITS governance frameworks.

Benefits

• competitive and valuable range of total rewards—monetary and non-monetary
• base compensation
• annual discretionary bonus
• 401(k) plan with a generous match
• recognition rewards
• comprehensive benefits package
• range of competitive healthcare options
• insurance
• disability benefits
• employee stock investment program
• learning resources
• career development programs
• reimbursement for certain education expenses
• paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays)
• motivational wellbeing program
• Three weeks paid time off the first year
• Medical, dental and vision insurance
• 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits
• Employee Stock Investment Program
• Tuition Assistance Program
• Purchase of company funds with no sales charge
• Onsite fitness center and recreation center
• Onsite cafeteria

What This Job Offers

• Job Type: Full-time
• Career Level: Executive