Managing Director, Data & AI
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
The Managing Director, Data & AI owns the full data-to-AI value chain, aligning data strategy, governance, engineering, and AI/ML execution through a unified operating model. This role is accountable for setting strategic direction, advancing data readiness, enforcing governance, resolving strategic tradeoffs, and delivering dependable AI-enabled business outcomes for the segment. In addition, this role contributes to the broader Nelnet data management council., * Data Strategy - Owns the segment-wide data strategy: target-state vision, operating model, domain ownership, investment sequencing, and multi-year roadmap; define how the value of data investment is measured and report against it
- Value Chain Unification - Unify data engineering, governance, and AI/automation into a single operating model, with shared intake, prioritization, and delivery cadence; resolve funding and capacity tradeoffs across the chain in favor of end-to-end business outcomes
- Data Platform - Oversee the data platform ecosystem: architecture decisions, consumption governance, cost, and roadmap prioritization
- Data Governance - Position governance as a business enabler: policy, lineage, quality, and access practices that accelerate trusted consumption rather than gate it
- AI & Automation - Set strategy for applying AI and automation to business processes; oversee AI democratization, adoption, and the Citizen Developer program
- Leadership - Lead through directors: coach and develop senior leaders, build succession depth, manage performance proactively, foster cohesion, and hold leaders to a high bar in a fast-moving domain
- Business Partnership - Translate business objectives into data and AI priorities in partnership with C-suite and senior leadership; build stakeholder relationships and executive credibility to drive adoption
Requirements
- Bachelor’s degree required in related fields, Required
- 10+ years leading data organizations at enterprise scale, including leading leaders
- Demonstrated ownership of an enterprise data strategy from definition through multi-year execution
- Proven executive-level influence with C-suite and business stakeholders
- Sufficient practical depth in data engineering and data governance to direct and challenge those teams
Preferred
- AI/ML and intelligent automation applied to business processes with measurable outcomes
- Track record operating in regulated / financial-services data environments
- Experience establishing a modern data operating model (data products, domain ownership, or equivalent)
COMPETENCIES/SKILLS:
- Strategic thinking & planning
- Executive level influence
- Stakeholder management
- Prioritization & decision making
- Critical thinking
- Team management & growth
About the company
Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology and education services to more than 1,200 higher education institutions, nearly 12,000 K-12 schools, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What Industries Outside of AI Are Hiring The Most AI Experts?
MLOps – What’s the deal behind it?
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Stephan Gillich - Bringing AI Everywhere