Head of Data Science Technology Solutions

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.

Key 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:
• 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.

Candidate Profile

Experience

• 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.

Capital Markets Expertise

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

Technical & Platform Expertise

• 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.

Leadership & Operating Style

• 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.

Franklin Templeton offers employees a competitive and valuable range of total rewards—monetary and non‑monetary—designed to support their well‑being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and 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) and a motivational wellbeing program. We expect the annual salary for this position to range between $208,000 - $270,000, depending on location and level of relevant experience, plus discretionary bonus.

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to View email address on click.appcast.io. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.