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The Data & AI Enablement Lead is a strategic individual contributor who partners with Finance, IT, and cross-functional stakeholders to translate complex business needs and data into actionable analytics and AI-enabled solutions. The role will shape Data & AI strategy and adoption; where the Data & AI Enablement Lead will lead and/or facilitate the following activities: evaluate and advance high-value use cases, facilitate delivery from discovery through adoption, communicate recommendations to diverse audiences, and promote responsible AI through effective governance, risk management, monitoring, and compliance.
Key Responsibilities
Data & AI strategy and roadmap: Partner with business and technology leaders to define AI priorities, identify capability gaps, develop roadmaps, and align investments with measurable business outcomes.
Use-case identification and facilitation: Lead workshops and intake discussions to identify, assess, prioritize, and shape AI and advanced analytics opportunities based on value, feasibility, data readiness, risk, and scalability.
Data & AI governance and responsible use: Help establish and operationalize AI governance standards, decision rights, review processes, documentation requirements, and controls throughout the AI lifecycle.
Risk assessment and oversight: Coordinate with Legal, Compliance, Privacy, Security, Data Governance, and other stakeholders to evaluate model risk, bias, explainability, data quality, privacy, security, and regulatory considerations.
Solution development and delivery: Provide technical leadership for the design, testing, validation, implementation, and monitoring of machine learning, generative AI, and other AI-enabled solutions.
Business and technical support: Advise teams on appropriate AI methods, tools, platforms, data requirements, prompt design, model selection, testing approaches, and implementation options.
Performance monitoring: Define success measures and support ongoing monitoring of solution accuracy, reliability, adoption, risk, and business impact; recommend remediation or retirement when appropriate.
AI adoption and enablement: Develop guidance, reusable assets, training, and communications that improve AI literacy and promote consistent, secure, and responsible adoption across the organization.
Stakeholder communication: Translate complex AI concepts, risks, and findings into clear recommendations for business leaders, governance forums, and technical teams.
Continuous improvement: Stay current on emerging AI capabilities, industry practices, and evolving standards, and recommend practical improvements to the organization’s AI operating model.
Use your skills to make an impact
Required Qualifications
Bachelor's degree and 5+ years of analytics experience or Master's degree and 3+ years of analytics experience.
Demonstrated ability to serve as a consultative analytics partner, working directly with business stakeholders to define problems, evaluate opportunities, and deliver actionable recommendations.
Experience leading projects through the full analytics/AI lifecycle, including business intake, discovery, analysis, solution development, communication of insights, and implementation support.
Experience using SQL, Power BI, Databricks, Python, or similar tools to support business decision-making.
Preferred Qualifications
Advanced degree in Informatics, Analytics, Business Analytics, Healthcare Analytics, Statistics, Computer Science, Data Science or a related field.
Progressive experience in financial analytics, business intelligence, Artificial intelligence informatics, or a related field.
Experience working with financial, accounting, claims, pharmacy, payer, provider, sales, or operational data.
Experience communicating insights and recommendations to senior leaders and cross-functional stakeholders.
Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the…