Director, Data Science (Retirement & Wealth)

Responsibilities

• Lead and develop a globally distributed team with clear roles, expectations, and coaching, sharing business knowledge and insights to connect technical work to solid business outcomes.
• Manage the portfolio of data science initiatives, balancing near‑term needs with long‑term capability building, utilizing effective project planning techniques to ensure on-time delivery.
• Translate business questions into actionable analytics work and ensure disciplined execution.
• Partner closely with business leaders, proactively identifying high‑value analytics opportunities and influencing decisions with clear, compelling communication.
• Define and uphold data science standards, ensuring rigor, quality, documentation, and production readiness.
• Collaborate with others, including data management and broader IT organization to operationalize solutions and track realized business value.
• Required Qualifications
• Bachelor's degree in a quantitative or analytical field (advanced degree preferred).
• 8-12+ years of experience delivering data science and analytics solutions into business processes in a controlled manner
• 3+ years of direct people leadership experience, including performance management and team development.
• Experience leading global or offshore teams (e.g., U.S./India delivery model).
• Experience in Retirement, Workplace, Wealth, or broader Financial Services with ability to quickly learn Voya's businesses
• Strong ability to partner with business leaders and translate analytics into business impact.
• Excellent written and verbal communication skills for effectively conveying complex data science concepts and outputs in a business-friendly manner
• Demonstrated track record of delivering analytics solutions that drive measurable outcomes.
• Exposure to modern analytics and data platforms, production analytics practices, and emerging AI technologies-including generative and agentic AI solutions-to enhance automation, decision‑making, and scalability.
• Comfortable leading through ambiguity and competing priorities.
• #LI-ND1
• Compensation Pay Disclosure:
• Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.
• Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Benefits

Additional Information

Together we fight for everyone's opportunity for a better financial future. We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now Role Overview The Director, Workplace Data Science ((Retirement & Wealth) provides strategic leadership for the analytics agenda, identifying high‑value business problems and driving measurable impact. The team delivers advanced analytics across large business and consumer data sets to generate actionable insights that improve decision‑making, strengthen key relationships, and enhance internal processes. The role oversees a U.S./India team of analysts and data scientists, guiding solution design, development, deployment, and continuous improvement while setting standards for quality and execution. The ideal candidate excels at interpreting business needs, applying appropriate data science methods, and communicating insights clearly to stakeholders across functions.

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