Managing Director – Data & AI Job New York New York USA,IT/Tech

Own the segment-wide data strategy, including 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
Unify data engineering, governance, and AI/automation into a single operating model
Establish shared intake, prioritization, and delivery cadence
Resolve funding and capacity tradeoffs in favor of end-to-end business outcomes
Oversee the data platform ecosystem, including architecture decisions, consumption governance, cost, and roadmap prioritization
Position governance as a business enabler through policy, lineage, quality, and access practices
Set strategy for applying AI and automation to business processes
Oversee AI democratization, adoption, and the Citizen Developer program
Lead through directors by coaching and developing senior leaders, building succession depth, managing performance, fostering cohesion, and holding leaders to a high bar
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
Contribute to the broader Nelnet data management council

Requirements

Bachelor’s degree required in related fields
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
AI/ML and intelligent automation applied to business processes with measurable outcomes (preferred)
Track record operating in regulated / financial-services data environments (preferred)
Experience establishing a modern data operating model (data products, domain ownership, or equivalent) (preferred)
Strategic thinking & planning
Executive level influence
Stakeholder management
Prioritization & decision making
Critical thinking
Team management & growth
Must already be authorized to work in the United States without current or future sponsorship

Core Competencies

Demonstrates expertise in leading enterprise data strategy, integrating data engineering, governance, and AI/automation to drive business outcomes. Proven ability to influence C-suite stakeholders and manage high-performing teams in regulated data environments.

Highest-signal resume keywords

Enterprise Data Strategy Ownership
Data Engineering and Governance
AI/ML Application to Business Processes
Executive-Level Influence
Stakeholder Management

ATS Optimization Keywords

Hard Skills

Data Strategy
Data Engineering
Data Governance
AI/Automation
Data Operating Model
Investment Sequencing
Architecture Decisions
Performance Management
Multi-Year Roadmap
Regulated Data Environments

Soft Skills

Strategic Thinking
Team Management
Critical Thinking
Prioritization
Decision Making

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Financial Services
Data Management
C-Suite Engagement
Citizen Developer Program
Stakeholder Relationships