Job Description

Mutual of Omaha is seeking a Director, Delivery Enablement Platforms to lead Workplace Solutions capabilities across Data, Artificial Intelligence, Software Engineering, and Technology Innovation. The role establishes the platforms, engineering practices, reusable capabilities, and emerging technologies that help teams turn trusted data and modern software engineering into scalable business and customer solutions.

This leader will connect strategy to execution across four related disciplines: building trusted and AI-ready data capabilities; enabling the responsible use of artificial intelligence; advancing the software engineering practice and developer ecosystem; and creating a structured path for experimentation, proof of value, productization, and adoption. The Director will partner across Workplace Solutions Agile Release Trains and enterprise technology teams while maintaining a focused accountability for these four capability areas.

WHAT WE CAN OFFER YOU:

• Estimated Salary (Levels have variable responsibilities and qualifications)
• Info Services Director: $200,000 - $225,000, plus annual bonus opportunity
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU’LL DO

Data & Data Platforms

• Define and execute the Workplace Solutions data-platform strategy in alignment with business priorities and enterprise data direction.
• Lead data-engineering capabilities that support trusted operational and analytical data, including reusable data products, data pipelines, business-owned semantics, and self-service access.
• Advance AI-ready data practices, including data quality, metadata, lineage, governance, security, lifecycle management, and clear accountability for data contracts.
• Guide the evolution and adoption of data capabilities supporting Member 360, MongoDB-based solutions, analytical data, reporting, advanced analytics, and future AI use cases.
• Partner with business and technology stakeholders to prioritize data investments based on measurable customer, associate, operational, and delivery outcomes.

Artificial Intelligence

• Define the Workplace Solutions AI enablement strategy and translate business and technology opportunities into an actionable portfolio of AI capabilities.
• Lead the incubation, validation, and responsible scaling of AI solutions that improve customer experience, associate productivity, decision quality, operational efficiency, and software delivery.
• Establish reusable AI capabilities, including governed skills, agents, knowledge solutions, engineering instructions, and patterns that can be adopted across teams.
• Embed appropriate security, privacy, compliance, human oversight, measurement, and lifecycle controls into AI experimentation and production use.
• Partner with enterprise AI, architecture, cybersecurity, data, legal, risk, and business teams to align solutions with enterprise standards and Workplace Solutions needs.

Software Engineering & Developer Enablement

• Lead the Workplace Solutions software engineering practice and developer ecosystem, creating a consistent foundation for how teams design, build, test, secure, release, operate, and improve software.
• Advance engineering standards, golden paths, repository templates, reusable workflows, architecture context, developer self-service, and practical enablement that make preferred practices easier to adopt.
• Improve engineering flow through modern source-control practices, CI/CD, build-once and promote-many patterns, automated quality and security checks, progressive delivery, and measurable delivery health.
• Enable AI-assisted engineering across design, development, code review, testing, knowledge discovery, modernization, and repository transferability while applying shared engineering expectations.
• Use engineering intelligence, developer feedback, DORA and flow measures, quality signals, and adoption data to identify friction and prioritize improvements.
• Partner with application leaders and ART teams to prove new practices on real work, capture reusable patterns, and scale successful capabilities.

Technology Innovation

• Establish a disciplined innovation model for identifying emerging technologies and validating their potential value for Workplace Solutions.
• Create a clear progression from idea to proof of value, pilot, productization, adoption, and outcome measurement.
• Build small, focused experiments that address real business or engineering problems and define explicit success, risk, and scaling criteria.
• Connect successful innovations to durable ownership, support models, architecture standards, funding, and adoption plans rather than leaving them as isolated proofs of concept.
• Maintain awareness of emerging capabilities in data, AI, cloud, software engineering, automation, and developer tooling, and communicate their relevance, trade-offs, and readiness to leaders.

Platform Portfolio & Stakeholder Leadership

• Manage Data, AI, Software Engineering, and Innovation capabilities as a coherent platform portfolio with clear roadmaps, priorities, service expectations, adoption measures, and investment decisions.
• Build strong partnerships across Workplace Solutions business functions, ART leadership, product management, architecture, cybersecurity, infrastructure, operations, and enterprise platform teams.
• Clarify boundaries and decision rights between enterprise platforms, Workplace Solutions platforms, ART delivery responsibilities, and business accountability.
• Communicate strategy, progress, risks, trade-offs, and outcomes clearly to executives, technology leaders, delivery teams, and business stakeholders.
• Guide vendor, tooling, capacity, sourcing, and financial decisions with a focus on reuse, sustainability, security, measurable value, and total cost of ownership.

Team Leadership & Development

• Lead, coach, and develop multidisciplinary leaders and teams across data engineering, AI, software engineering enablement, and innovation.
• Build a culture of customer focus, technical excellence, accountability, experimentation, inclusion, learning, and continuous improvement.
• Develop technical and leadership capabilities, succession plans, workforce strategies, and communities of practice aligned to the capability roadmap.
• Create an environment where teams can move quickly in discovery and experimentation while applying the rigor required for sustainable production capabilities. Promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do.

WHAT YOU’LL BRING:

• 8+ years of progressive experience across software engineering, data engineering, artificial intelligence, platform engineering, technology innovation, architecture, or related disciplines.
• 5+ years of people leadership experience, including responsibility for technical leaders or multidisciplinary teams and organization-level outcomes.
• Demonstrated experience leading shared technology capabilities, engineering practices, platforms, centers of excellence, or enablement services used by multiple product or delivery teams.
• Strong experience in software engineering and at least two of the following areas: data engineering and analytics, AI/ML enablement, developer platforms and DevOps, cloud engineering, or technology innovation.
• Experience defining strategy, building roadmaps, sequencing pilots, productizing proven capabilities, managing investments, measuring outcomes, and driving adoption across organizational boundaries.
• Working knowledge of modern software delivery, cloud and data architectures, AI governance, security, operational risk, and technology lifecycle management.
• Excellent communication, coaching, stakeholder-management, strategic-planning, and organizational-change skills.
• Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.

PREFERRED:

• Experience in group insurance, financial services, Workplace Solutions, or another regulated enterprise environment.
• Experience operating within SAFe or another scaled product-delivery model with multiple Agile Release Trains.
• Experience with modern data platforms, MongoDB, analytical data products, semantic models, data governance, and AI-ready data practices.
• Experience with generative AI, reusable agents and skills, responsible AI, AI-assisted software engineering, knowledge systems, or AI-enabled modernization.
• Experience with GitHub Enterprise, GitHub Actions, developer portals, cloud services, automated testing, artifact management, observability, and engineering intelligence platforms.
• Bachelor’s degree in computer science, engineering, information systems, data, or a related field; advanced degree or relevant certifications are beneficial.

This role is classified as remote; however, periodic in-person attendance will be required at times for activities such as quarterly or project planning, training, or other business-critical meetings.

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.

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