AVP, Finance Data Strategy and Innovation

Humana • Louisville, KY

4d • $208,500 - $286,700

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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 compliant 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.

Benefits

• medical
• dental
• vision
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive