[Remote] Director of Data, Analytics, and AI

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a visionary Director of Data, Analytics & AI to lead its enterprise data strategy, analytics capabilities, and AI/ML practice. The role is responsible for establishing data governance, platforms, and practices; overseeing scalable data foundations and responsible AI initiatives; partnering with business leaders; and developing multidisciplinary teams. Responsibilities • Own and continuously evolve MEM's enterprise data, analytics, and AI strategy to align with business priorities, organizational goals, and risk management requirements • Partner with Product Management and business leaders to understand strategic objectives and translate them into actionable data, analytics, and AI roadmaps • Establish the long-term vision for data platforms, analytics environments, and AI/ML infrastructure, including build, buy, and partner decisions • Identify and evaluate emerging AI capabilities and prioritize investments based on business value, organizational readiness, and risk-adjusted returns • Maintain executive-level engagement through reputed company communication of portfolio outcomes, delivery progress, and risk considerations • Lead the organization's AI/ML practice, ensuring solutions are reliable, scalable, and deliver measurable business outcomes • Establish enterprise standards for model development, validation, deployment, monitoring, and retirement • Guide the evaluation, piloting, and deployment of generative AI and emerging AI technologies while balancing innovation with responsible governance • Promote enterprise adoption of AI-enabled tools and opportunities that improve effectiveness, efficiency, and decision-making • Define and oversee operational practices for machine learning including model management, monitoring, observability, and lifecycle governance • Direct enterprise data architecture and data platform strategies that support analytics, AI, and operational business needs • Ensure data engineering practices deliver high-quality, trusted, well-documented, and scalable data assets • Partner with technology and operational leaders to maintain a unified data ecosystem that supports future growth and innovation • Champion user-centered design with a strong focus on the usability and accessibility of analytics and data products • Lead enterprise data governance efforts, including data quality, reputed company, stewardship, access controls, retention practices, and business glossaries • Oversee the AI governance framework including model inventories, risk classification, validation standards, monitoring, explainability, and fairness assessments • Ensure data and AI initiatives comply with applicable insurance regulations, emerging AI requirements, and internal governance standards • Partner with Legal, Compliance, Risk, and other stakeholders to translate regulatory expectations into practical operational controls • Identify and proactively manage technical, operational, regulatory, and reputational risks reputed company with data and AI initiatives • Partner with leaders across underwriting, claims, actuarial, safety and risk services, and other business functions to deliver analytics and AI solutions that improve business outcomes • Foster strong cross-functional relationships to ensure alignment between business priorities and technology investments • Drive measurable value through data-informed decision-making and enterprise analytics initiatives • Lead, mentor, and develop a multidisciplinary team including product owners, data engineers, data scientists, analytics engineers, and business intelligence developers • Create career development pathways, succession plans, and talent strategies that strengthen organizational capabilities • Build a culture of innovation, accountability, collaboration, and continuous learning • Develop future technical leaders through coaching, mentorship, and challenging growth opportunities Skills • Bachelor's degree in Computer Science, Data Science, Information Management, or a closely related field required • Equivalent combinations of education and relevant professional experience will be considered • Valid driver's license • Proven track record of successful leadership in data, analytics, and artificial intelligence initiatives • 3+ years of leadership experience, either through reputed company management responsibilities or significant leadership influence within complex initiatives • Experience developing and executing enterprise data strategies and governance programs preferred • Experience leading cross-functional teams and driving business transformation through data and analytics strongly preferred • Experience operating within a