Technology Implementation Lead - Finance Data Platform

Become a part of our caring community. The Technology Implementation Lead delivers scalable data solutions that support Finance priorities while aligning with enterprise data strategy and North Star Architecture. This role operates across a range of complexity and scope, from moderate initiatives to highly strategic programs, translating business needs into governed, production-ready data solutions and ensuring alignment with enterprise standards to enable trusted data for analytics, reporting, and operational use.

About the role

You will play a critical role in translating business strategy into scalable technical solutions, focusing on building cloud-first data solutions, data governance, and data foundations with leading best practices. Projects include leading the implementation of data foundation capabilities across Data Quality, Metadata, and Reference Data Management, as well as driving development of data assets within Databricks.

This position is ideal for a strong communicator who thrives in cross-functional environments and can clearly articulate complex concepts to both technical and non-technical audiences. You will regularly prepare and deliver executive-ready presentations, status updates, and recommendations that guide strategic decision-making. The candidate must be able to work within the Eastern or Central Standard Time zones.

Responsibilities

• Gather and translate business and data requirements into scalable solutions, influencing system design to ensure alignment with enterprise data standards and governance.
• Lead implementation across the full lifecycle, including design, development, testing, and operationalization, while ensuring solutions meet both business and control requirements.
• Contribute to Databricks-based development (e.g., table builds, transformations, and optimization), partner with IT for implementation, and ensure readiness for production support.
• Provide strategic guidance to leadership by identifying gaps in data foundation capabilities and recommending improvements aligned to Finance priorities.
• Partner with business and technology teams to define, implement, monitor, and remediate Data Quality controls and rules for critical Finance data assets.
• Support implementation of metadata management practices including business glossary creation, data lineage documentation, catalog onboarding, stewardship alignment, and governance compliance.
• Support onboarding and operationalization of reference data domains, partnering with data stewards and platform teams to establish governance, ownership, hierarchies, and lifecycle management processes.
• Execute rapid prototyping to validate complex business requirements and work with IT to ensure accurate implementation.
• Execute UAT testing and post-production validation.
• Provide recommendations to leadership regarding data foundation priorities, implementation sequencing, capability gaps, risks, and opportunities.

Requirements

• Bachelor's degree in Computer Science, Engineering, Financial Analytics, Business Analytics, Finance, or a related technical field.
• 5 or more years of total experience in financial systems or data solutions.
• 2 or more years of experience developing data solutions on Databricks or comparable cloud data platforms.
• 2 or more years of project leadership experience.
• Knowledge of Systems Development Life Cycle, Waterfall, and Agile Development Methodologies.
• Experience in IT business analysis, including artifacts development.
• Strong understanding of data governance principles and frameworks.
• Experience translating business requirements into data models, transformations, and curated datasets.
• Experience working with data foundations, including Data Quality, Metadata, or Reference Data Management.
• Problem-solving and consultation skills within complex environments.
• Ability to facilitate cross-functional teams' efforts.
• Passion for contributing to an organization focused on improving consumer experiences.
• Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences, including executive leadership.

Preferred Qualifications

• Master's Degree in Business Administration, Computer Science, or a related field.
• Data-related certifications on Databricks.
• Intermediate to expert level SQL expertise.
• Data-related certifications on any major cloud platform.
• Experience with tools such as BigEye, Reltio, Collibra/EDC, or similar platforms.
• Experience supporting healthcare-related data initiatives.
• Experience influencing or contributing to data governance operating models or committees.

Work at Home Requirements

To ensure effective work, the self-provided internet service must meet the following criteria: at minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps; wireless, wired cable, or DSL connection is suggested. Work from a dedicated space lacking ongoing interruptions to protect member PHI/HIPAA information.

While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Pay

The pay range for this full-time (40 hours per week) position is $106,900 - $147,000 per year. This job is eligible for a bonus incentive plan based on company and/or individual performance.

Benefits

Humana offers competitive benefits that support whole-person well-being, including:

• Medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Paid time off, including company and personal holidays, paid parental and caregiver leave.
• Short-term and long-term disability.
• Life insurance.
• Other opportunities designed to encourage personal wellness and smart healthcare decisions.

Schedule

Scheduled weekly hours: 40.