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Allied Benefit Systems · 1 day ago

Director, AI/ML & Data Science

United States

Full-time

Remote

Lead/Staff, Director/Executive

$200K/yr - $215K/yr

12+ years exp

Allied Benefit Systems is seeking a Director of AI/ML & Data Science to drive AI initiatives that deliver measurable value in the healthcare benefits domain. The role involves leading the development of predictive models and AI applications, managing a team, and collaborating across various units to ensure impactful AI solutions.

Health CareInsuranceWellness

Responsibilities

Manage and mentor the data science team to build production-grade AI solutions that address key business needs. Focus on deploying models and ensuring each integration yields concrete business impact

Oversee full model integration with core systems in partnership with engineering. Establish robust MLOps pipelines for continuous deployment, data drift alarms, model operations monitoring, and models retraining You will implement A/B production tracks (i.e., sampling holdouts) ensuring continued measurement of your solutions’ benefits and design models for reuse across multiple applications and teams

In coordination with governance team members, ensure strong AI governance by following ISO 42001 standards and internal SOPs. Serve on the Model Review Board to evaluate new models and user-built AI tools, confirming they meet quality, ethical, and intended-use criteria before and after deployment

Work with technical product owners, engineering, finance, and business stakeholders to align data science projects with desired outcomes. Contribute to cost-benefit and ROI analyses for proposed AI initiatives, helping prioritize projects based on business value, feasibility and user-adoption. Communicate project updates and outcomes to business stakeholders and senior leadership in clear business terms

Evaluate emerging AI technologies and external solutions. Partner with vendors and assess commercial off-the-shelf AI tools to complement internal efforts, ensuring deployed solutions remain current and high performing

Collaborate with peers in AI Quality Assurance, ML Engineering Product, and AI Governance to develop a cohesive, high performing AI Team. Play active role in hiring and mentoring talent across these functions as the program grows

Lead, coach, motivate and develop. Responsible for one-on-one meetings, performance appraisals, growth opportunities and attracting new talent

Clearly communicate expectations, provide employees with the training, resources, and information needed to succeed

Actively engage, coach, counsel and provide timely, and constructive performance feedback

Qualification

Machine LearningData ScienceMLOpsPythonStatistical TechniquesHealthcare ExperienceModel GovernanceCloud EnvironmentBusiness AcumenLeadershipCommunicationTeam Management

Required

Bachelor's degree in a quantitative field is required

12+ years in data science or advanced analytics, demonstrated sustained performance with impact at team(s) or department level

At least 5 years at a manager level and successful demonstrated leadership competencies

Proven track record of deploying machine learning models into production with operational maintenance

Experience with PII/PHI in healthcare, insurance, or other regulated industries is required

Deep knowledge of machine learning and statistical techniques (e.g., predictive modeling, NLP)

Hands-on proficiency with Python and core ML libraries (pandas, scikit-learn, TensorFlow/PyTorch) and data pipeline tools

Able to guide the team on technical issues and review code or model designs

Strong grasp of MLOps and software engineering practices

Familiarity with designing A/B tests or pilot programs to evaluate model performance and business impact over time

Able to connect data science work to business KPIs and customer outcomes

Experience contributing to ROI assessments or cost-benefit analyses of projects

Solid understanding of data privacy, model risk management, and AI ethics in product development

Excellent leadership and communication skills

Proven ability to recruit and develop talent, foster an innovative yet execution-focused team culture, and coordinate efforts across disciplines

Executive presence to present plans and results to senior leaders, translating complex technical topics into actionable insights for business audiences