• Apply engineering principles and methodologies to solve complex technical challenges • Troubleshoot technical issues and develop effective solutions in a timely manner • Stay up to date with the latest advancements in relevant technologies • Collect, analyze, and interpret large datasets using Excel and other analytical tools • Develop and maintain insightful reports and dashboards to track key performance indicators (KPIs) and identify trends • Use data-driven insights to make recommendations for process improvements, cost reduction, and efficiency gains • Communicate technical information clearly and effectively to both technical and non-technical audiences • Collaborate with cross-functional teams (e.g., sales, marketing, operations) to achieve common goals • Present technical findings and recommendations to management in a concise and persuasive manner • Act as a technical resource and mentor to junior engineers • Understand the business implications of engineering decisions and contribute to strategic planning • Identify opportunities to leverage technology to improve business processes and gain a competitive advantage • Participate in cost-benefit analyses and ROI calculations for engineering projects • Stay informed about industry trends and market dynamics • Develop project plans, track progress, and identify and mitigate risks

Role Description The Manager, Data Engineering role is accountable for the operational excellence, stability, and evolution of the enterprise data platform supporting CenterWell Pharmacy (CWP) and Pharmacy Benefits Management (PBM). This role partners closely with engineering leads and cross-functional stakeholders to prioritize work, ensure platform reliability, and drive continuous improvement of data platform capabilities. Unlike traditional management roles, this position is a hands-on operational leader responsible for executing critical platform accountabilities while also leading and developing a high-performing team. This role focuses on enabling engineering teams to concentrate on software development and innovation by owning operational governance, platform health, financials, and delivery oversight. The Manager, Data Engineering, works within defined enterprise guidelines and processes, applying advanced technical and operational knowledge to solve moderately complex problems. The role receives objectives and determines appropriate approaches, resources, priorities, and execution plans while ensuring alignment with enterprise strategy. This role leads a blended team consisting of approximately 25 to 40 contractors and 3 to 6 associates, with team size fluctuating based on business demand and project needs. Key Responsibilities - Oversee all aspects of data platform operations, including: - SDLC adherence - Change management - Financial governance - Vendor coordination - Cloud cost optimization - Technology lifecycle activities - Collaborate across: - Engineering - Product - Security - Compliance - Business teams Success Profile - Balance of: - Technical depth - Operational rigor - Financial ownership - People leadership - Ability to operate effectively in a fast-paced, highly regulated healthcare environment. Qualifications - Bachelor’s degree in computer science, Information Technology, Engineering, or related field; or equivalent experience - 8+ years of experience in data engineering, software engineering, or enterprise data platform environments - 2+ years of experience leading or managing technical teams, including direct or matrixed reports - Hands-on experience operating and supporting cloud-based data platforms (e.g., Snowflake, Databricks, Azure, or similar technologies) - Strong knowledge of Software Development Life Cycle (SDLC), DevOps practices, and operational readiness disciplines - Experience managing application lifecycle activities, including deployments, documentation, technical debt, and production support - Demonstrated experience managing change control processes using enterprise tools (e.g., ServiceNow or similar systems) - Experience with financial accountability, including budgeting, forecasting, and cloud cost management - Proven ability to manage multiple priorities, projects, and operational demands in a fast-paced environment - Experience working in cross-functional environments, partnering with business and technology stakeholders to align priorities and delivery - Strong communication, leadership, and stakeholder management skills with ability to influence across organizational levels - Demonstrated ability to drive operational excellence, improve system stability, and implement quality improvement practices (e.g., shift-left defect identification) - Experience supporting compliance, security, and risk management practices (e.g., vulnerability management, cyber hygiene, or similar disciplines) Preferred Qualifications - Experience supporting healthcare, pharmacy, or Pharmacy Benefits Management (PBM) domains - Experience operating enterprise data platforms supporting high-volume, near real-time ingestion and analytics workloads - Familiarity with tools and processes such as ServiceNow (SNOW), EAPM, and Technology Lifecycle Management (TLM) - Experience managing vendor relationships, contracting processes, and Statements of Work (SOWs) - Exposure to data governance, data quality, and regulatory requirements (e.g., HIPAA, PCI, or DSCSA) - Experience with cloud cost optimization strategies and FinOps practices - Experience leading or supporting large-scale platform modernization or transformation initiatives - Strong understanding of data engineering frameworks, including ETL/ELT pipelines, data lakes, and data warehouses - Experience implementing monitoring, observability, and production support processes for data platforms - Master’s degree in computer science, Information Technology, Business Administration, or related field - Agile, Scrum, or DevOps certifications Travel While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 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. $129,300 - $177,800 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Benefits - 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 - Many other opportunities 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.

• Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark). • Defines and maintains data contracts, quality rules, and data SLOs for each data product. • Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain). • Trains, mentors, and pairs with domain engineers/analysts on data product ownership and good engineering practices. • Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.

Role Description This role requires a unique blend of technical expertise, analytical skills, strong communication abilities, and a solid understanding of business principles. The ideal candidate will be a problem-solver who can contribute to both technical projects and strategic decision-making. The ideal candidate will be able to work independently as well as on a team, a proven communicator who effectively interfaces between technical and business teams. What you'll do... - Technical Engineering & Problem Solving: - Apply engineering principles and methodologies to solve complex technical challenges. - Troubleshoot technical issues and develop effective solutions in a timely manner. - Stay up to date with the latest advancements in relevant technologies. - Data Analysis & Reporting: - Collect, analyze, and interpret large datasets using Excel and other analytical tools. - Develop and maintain insightful reports and dashboards to track key performance indicators (KPIs) and identify trends. - Use data-driven insights to make recommendations for process improvements, cost reduction, and efficiency gains. - Communication & Collaboration: - Communicate technical information clearly and effectively to both technical and non-technical audiences. - Collaborate with cross-functional teams (e.g., sales, marketing, operations) to achieve common goals. - Present technical findings and recommendations to management in a concise and persuasive manner. - Act as a technical resource and mentor to junior engineers. - Business Acumen & Strategy: - Understand the business implications of engineering decisions and contribute to strategic planning. - Identify opportunities to leverage technology to improve business processes and gain a competitive advantage. - Participate in cost-benefit analyses and ROI calculations for engineering projects. - Stay informed about industry trends and market dynamics. - Project Management: - Develop project plans, track progress, and identify and mitigate risks. - Coordinate resources and communicate effectively with stakeholders. Qualifications - Bachelor's Degree in Engineering, Business or Finance. - 2+ years of experience with: - Engineering principles and methodologies. - Working with large datasets using Excel and other analytical tools. - Developing and maintaining reports and dashboards to track key performance indicators (KPIs) and identify trends. - Collaborating with cross-functional teams. - Presenting to management. - Developing project plans, tracking progress, and identifying and mitigating risks. Benefits - Immediate medical, dental, vision and prescription drug coverage. - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more. - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more. - Vehicle discount program for employees and family members and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day. - Paid time off and the option to purchase additional vacation time. Company Description This position is a salary grade 8 and ranges from $99,100-166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DE2