[Hiring] Technology Implementation Lead @Humana

Role Description

The Technology Implementation Lead delivers scalable data solutions that support Finance priorities while aligning with enterprise data strategy and North Star Architecture. The Lead operates across a range of complexity and scope, translating business needs into governed, production-ready data solutions.

• Ensures alignment with enterprise standards and enables trusted data for analytics, reporting, and operational use.
• Focuses on building cloud-first data solutions, data governance, and data foundations with leading best practices.
• Leads the implementation of data foundation capabilities across Data Quality, Metadata, and Reference Data Management.
• Drives development of data assets within Databricks.
• Prepares and delivers executive-ready presentations, status updates, and recommendations for strategic decision-making.
• Gathers and translates business and data requirements into scalable solutions, influencing system design for alignment with enterprise data standards and governance.
• Leads implementation across the full lifecycle, including design, development, testing, and operationalization.
• Contributes to Databricks-based development (e.g., table builds, transformations, and optimization).
• Partners with IT for implementation and ensures readiness for production support.
• Provides strategic guidance to leadership by identifying gaps in data foundation capabilities and recommending improvements aligned to Finance priorities.
• Researches and incorporates industry-leading cloud practices related to Cloud data solutions, data governance, and data foundations.
• Partners with business and technology teams to define, implement, monitor, and remediate Data Quality controls and rules for critical Finance data assets.
• Supports implementation of metadata management practices including business glossary creation, data lineage documentation, catalog onboarding, stewardship alignment, and governance compliance.
• Supports onboarding and operationalization of reference data domains, partnering with data stewards and platform teams to establish governance, ownership, hierarchies, and lifecycle management processes.
• Executes rapid prototyping to validate complex business requirements and works with IT to get requirements accurately implemented.
• Executes UAT testing and post-production validation.
• Provides recommendations to leadership regarding data foundation priorities, implementation sequencing, capability gaps, risks, and opportunities.

Qualifications

• 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.
• Experience problem solving and consultation within complex environments.
• Facilitate cross-functional teams' efforts.
• Must be passionate about 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.

Requirements

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

Benefits

• Medical, dental and vision benefits.
• 401(k) retirement savings plan.
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave).
• Short-term and long-term disability.
• Life insurance and many other opportunities.