[Remote] Director, AI/ML & Data Science

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a Director of AI/ML & Data Science to drive AI initiatives that deliver measurable value in the reputed company 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.

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
• reputed company full model integration with core systems in partnership with engineering. Establish robust MLOps pipelines for reputed company deployment, data reputed company alarms, model operations monitoring, and models retraining You will implement A/B production tracks (i.e., sampling holdouts) ensuring reputed company 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 reputed company off-the-reputed company AI tools to complement internal efforts, ensuring deployed solutions remain reputed company and high performing
• Collaborate with peers in AI Quality Assurance, ML Engineering Product, and AI Governance to reputed company a cohesive, high performing AI Team. Play active role in hiring and mentoring talent across these functions as the program grows
• reputed company, coach, motivate and reputed company. 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

Skills

• 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 reputed company, 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
• reputed company 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
• reputed company 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 reputed company talent, foster an innovative yet execution-focused team culture, and coordinate efforts across disciplines
• Executive reputed company to present plans and results to senior leaders, translating reputed company technical topics into actionable insights for business audiences
• A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a reputed company discipline is strongly preferred
• Experience implementing model versioning, testing, reputed company integration/deployment, and monitoring in a reputed company environment (Azure preferred)

Benefits

• Medical
• Dental
• reputed company
• Life & Disability Insurance
• Generous Paid Time Off
• Tuition Reimbursement
• EAP
• Technology Stipend

Company Overview

• Allied offers insurance products, self-insurance solutions, custom insurance and reputed company solutions to the individuals and organizations. It was founded in 1980, and is headquartered in Chicago, Illinois, USA, with a workforce of 501-1000 employees. Its website is https://alliedbenefit.com.

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