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Analytics Director, Data Modeling and Automation

Job in Township of Shelby, Oceana County, Michigan, USA
Listing for: American Red Cross
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    Change Management, Data Science Manager
  • Management
    Change Management, Data Science Manager, Project & Program Management
Salary/Wage Range or Industry Benchmark: 130000 - 145000 USD Yearly USD 130000.00 145000.00 YEAR

Job Description & How to Apply Below

Location: Township of Shelby

Job Description:

Joining The American Red Cross is like nothing else - it's as much something you feel as something you do. You become a vital part of the world's largest humanitarian network. Joining a team of welcoming individuals who are exceptional, yet unassuming. Diverse, yet uncompromising in unity. You grow your career within a movement that matters, where success is measured in people helped, communities made whole, and individuals equipped to never stop changing lives and situations for the better.

When you choose to be a force for good, you'll have mentors who empower your growth along a purposeful career path. You align your life's work with an ongoing mission that's bigger than all of us. As you care for others, you're cared for with competitive compensation and benefits. You join a community that respects who you are away from work as much as what you do while at work.

Where

Your Career is a Force for Good! WHAT YOU NEED TO KNOW:

The Director, Analytics Data Modeling & Automation leads a high-performing team responsible for the design, development, governance, and support of Biomedical Services analytics data models, automation solutions, and data products. This leader is accountable for translating business strategy into scalable data solutions that enable trusted decision-making, operational efficiency, and measurable business outcomes.

The role requires a balance of strategic leadership, technical depth, organizational influence, and delivery execution. The Director partners closely with business leaders, analytics teams, architecture, governance, security, and technology stakeholders to ensure enterprise data assets are reliable, scalable, and aligned to organizational priorities.

WHERE YOUR CAREER IS A FORCE FOR GOOD (Key Responsibilities):
  • Lead and develop a team of analytics, data modeling, automation, and engineering professionals while fostering a culture of accountability, collaboration, and continuous improvement.
  • Establish and govern Biomedical analytical data modeling standards, architecture, and best practices.
  • Drive automation and process improvement initiatives that enhance efficiency, scalability, and operational effectiveness.
  • Lead analytics portfolio management, including intake, prioritization, resource allocation, and delivery execution.
  • Serve as a trusted advisor to business and technology leaders, translating strategic objectives into data and analytics solutions.
  • Ensure compliance with data governance, security, and privacy standards while reducing operational risk and strengthening organizational resilience.

The salary range for this position is $,000/year.

Note that American Red Cross salaries are aligned to the specific geographic location in which the work is primarily performed. Other factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have, and comparison to other employees already in this role.

This job will be posted for a minimum of five business days and extended if the applicant pool needs to be expanded.

The role is remote/workfromhome, with the requirement that the selected candidate must reside anywhere within the United States.

Education
  • Bachelor's degree or an equivalent combination of education and relevant experience.
Experience
  • Minimum of 10 years of progressive experience in analytics, data modeling, automation, business intelligence, or related disciplines.
  • Proven experience leading and developing high-performing technical teams, including both employees and contractors.
  • Demonstrated success leading complex, cross-functional projects and enterprise-scale initiatives from strategy through execution.
  • Experience implementing data-driven solutions that enhance operational…
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