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The AVP, Finance Data Strategy and Innovation leads the strategic vision, roadmap, and execution for finance data architecture, data solutions and data management in accordance with the Enterprise strategy, and innovation initiatives at Humana. This leader will modernize, standardize, and automate the finance data landscape, leveraging advanced technologies including cloud platforms, AI, and analytics. The AVP partners cross-functionally, drives adoption of best practices, and ensures finance data capabilities are aligned with enterprise and business priorities.

Key Responsibilities:

• Develop and execute a comprehensive finance data strategy in alignment with enterprise and cloud architecture objectives.
• Establish and manage a multi-year roadmap for finance data, balancing business value, scalability, risk, and user experience.
• Establish and maintain data governance practices, including cataloging, lineage, classification, and security in compliance with enterprise and regulatory standards.
• Chair and orchestrate the Finance Architecture review committee responsible for ensuring that all solutions executed in the Finance domain are complaint to the Finance Strategy and the larger Enterprise strategy.
• Lead establishment of Information Architecture for Finance Domain. Create best in class semantic layer, domain ontologies, complete metadata and reference data management
• Oversee master data and metadata stewardship, ensuring data accuracy, quality, and consistency across financial domains.
• Define and maintain financial data hierarchies, mappings, finance dimensions, and monitor consumption trends to support business analytics and reporting needs.
• Lead the design and implementation of finance data platforms, in partnership with IT, including cloud-based data warehousing, MDM, and ETL/ELT architectures (e.g., Azure, Databricks).
• Support finance system implementation and rollout coordination
• Identify, prioritize, and deliver innovative solutions using AI/ML and automation; provide technology use cases, business requirements, and inputs for prompt engineering to maximize business value.
• Direct and mentor high-performing teams focused on data management, analytics, and automation; foster a culture of innovation, technical excellence, and continuous improvement within own team as well as across Finance.
• Build and maintain strong partnerships with Finance, IT, Enterprise Data Governance, business, and enterprise architecture stakeholders to translate business requirements into effective data solutions.
• Monitor emerging trends and technologies, recommending and piloting new approaches to future-proof finance data capabilities.
• Develop and manage proof-of-concept initiatives, assessing impact, scalability, and cost-benefit of new data and automation technologies.

Use your skills to make an impact

Required Qualifications:

• Bachelor's degree in Finance, Computer Science, Information Systems, Engineering, or related field.
• Demonstrated experience (typically 12+ years) in data strategy, data management, or data architecture within large, complex organizations, including strategy and roadmap development.
• Experience leading a business/applied data engineering team or data analytics team
• Proven leadership experience in building and managing teams.
• Deep expertise in finance data platforms, data warehousing, ETL/ELT, and cloud data architectures (e.g., Azure, Databricks).
• Experience with master data management, metadata management, and data governance frameworks.
• Experience with Finance systems and applications such as Oracle ERP, Anaplan, Blackline, etc.
• Practical knowledge of AI/ML, automation, and advanced analytics techniques and technologies.
• Strong business acumen and ability to align data initiatives with strategic business objectives.
• Exceptional communication, collaboration, and executive stakeholder management skills.
• Experience supporting finance system implementation, migration, and integration projects.

Preferred Qualifications:

• Master's degree in Finance, Data Science, Business Administration, Computer Science, or related field.
• Experience in healthcare industry, specifically with Payers
• Relevant professional certifications (e.g., CDMP, CBIP, PMP, Azure Data Engineer).
• Hands-on experience with finance-specific data structures, hierarchies, and reporting frameworks.
• Experience leading large-scale cloud migration, data transformation, or automation programs.
• Familiarity with regulatory compliance standards (e.g., SOX, HIPAA) as they pertain to finance data.
• Track record of successfully delivering AI/ML and automation initiatives
• Demonstrated ability to drive cultural and organizational change related to data and technology adoption.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$208,500 - $286,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer atHumana.comand atCenterWell.com.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.