Director of Data Science leading analytics for Retirement & Wealth at Voya. Overseeing a distributed team and driving measurable impact through business problem identification and solution development.
Responsibilities
Provide strategic leadership for the analytics agenda, identifying high‑value business problems and driving measurable impact.
Deliver advanced analytics across large business and consumer data sets to generate actionable insights that improve decision‑making, strengthen key relationships, and enhance internal processes.
Oversee 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.
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.
Requirements
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.
Benefits
Health, dental, vision and life insurance plans
401(k) Savings plan – with generous company matching contributions (up to 6%)
Voya Retirement Plan – employer paid cash balance retirement plan (4%)
Tuition reimbursement up to $5,250/year
Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.
Staff Data Scientist at GoodLeap driving data strategies for sustainable finance and software solutions. Collaborating with analytics teams to prioritize impactful analysis projects.
Data Scientist leading analytical projects and collaborating with business partners to solve specific business problems for Amgen operations. Utilizing advanced analytics to create significant business impact.
Senior Data Scientist developing AI - driven solutions for Autodesk, improving scalability and cost efficiency. Collaborating with cross - functional teams to deliver innovative data - driven strategies.
Data Scientist role at Novo Nordisk focused on AI/ML and biologics design. Involves developing computational solutions for drug discovery targeting chronic diseases like obesity.
Senior Data Scientist developing data models and insights for AI compliance engine. Collaborating with teams to optimize product performance in legal workflows.