About The Position
The Strategic Data Solutions team is seeking an experienced, results-oriented Analytics Manager to lead Technical Fraud Analysts in combating fraud, waste, and abuse across multiple programs. The manager guides the development and implementation of analytical and tactical solutions to detect, prevent, and mitigate fraudulent activities, while fostering data-driven decision-making and continuous improvement in fraud prevention strategies. The role combines technical and analytical knowledge with fraud mitigation skills to help the team scale its work effectively. It involves developing team members’ career paths and skills, building strong relationships across the organization, and navigating ambiguity by making informed decisions when information may be incomplete. The manager also leads analytical tools and automation efforts, manages team work and initiatives, and partners with internal and external stakeholders to address program needs.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, a related field, or relevant experience.
- At least 7 years of hands-on experience in data science, analytics engineering, or similar technical analytics roles.
- At least 2 years of experience leading and mentoring data-focused teams.
- Proficiency in SQL and at least one programming language, such as Python or R.
- Strong analytical background applying data science techniques, including experimental design and statistical analysis, to extract insights and answer real-world questions.
- Experience working with large-scale data pipelines and conducting data analysis in production-level analytics platforms.
- Proven ability to drive measurable business impact through data and automation.
- Ability to connect insights to business outcomes and influence strategy.
- Expertise in data storytelling and creating stakeholder-ready visualizations and narratives.
- Ability to work in strategic and tactical situations and shift between them based on role needs.
- Clear communication skills, including translating complex technical concepts into actionable business language.
- Passion for fostering inclusive team environments and valuing diverse perspectives.
Nice To Haves
- Familiarity with modern data platforms such as Spark, Snowflake, and Airflow.
- Familiarity with MLOps tooling.
Responsibilities
- Lead the team in developing analytical tools and automations to support functional needs.
- Collaborate with and support the team in innovating, experimenting, and growing.
- Mentor team members in developing technical and professional skills, balancing individual interests with business needs.
- Drive personal innovation projects to improve team or program efficiency.
- Functionally manage Technical Fraud Analyst work.
- Develop and implement Technical Fraud Analyst KPIs and drive prioritization to keep metrics aligned with program targets.
- Project manage team initiatives as needed.
- Engage internal and external partners to understand program needs and develop solutions to shared challenges.
- Guide analytical and tactical solutions to detect, prevent, and mitigate fraud, waste, and abuse across multiple programs.
- Foster data-driven decision-making, strong organizational relationships, and continuous improvement in fraud prevention strategies.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
