Director of Enterprise Data & AI Strategy

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Enterprise Data & AI Strategy in the United States.

This role is a strategic leadership position responsible for shaping and executing the enterprise-wide data and AI strategy to drive innovation, insight, and operational excellence. You will oversee data architecture, analytics, and AI initiatives, ensuring scalable, high-quality platforms that support digital transformation goals. Partnering closely with senior business and IT leaders, you will prioritize initiatives, manage risk, and translate complex business needs into actionable, data-driven solutions. You will lead cross-functional teams to modernize BI infrastructure, implement advanced analytics and machine learning, and foster a culture of data literacy and continuous improvement. Success in this role directly impacts business outcomes, accelerates intelligent decision-making, and promotes a culture of innovation. The position offers the flexibility of fully remote work while collaborating across enterprise functions to advance strategic priorities.

Accountabilities:

Define and implement an enterprise-wide data and AI strategy aligned with business priorities and IT vision.
Provide leadership across data, analytics, and AI, chairing cross-functional AI Steering Committees to ensure adoption and value realization.
Partner with senior leaders to prioritize initiatives, manage risks, and oversee financial and investment decisions for data programs.
Oversee enterprise data architecture and governance, ensuring scalable platforms, regulatory compliance, high data quality, and clear ownership.
Lead modernization of BI infrastructure, including cloud platforms, ETL pipelines, dashboards, integrations, and vendor-managed services.
Drive analytics innovation, including predictive modeling, machine learning, and MLOps solutions, translating complex business needs into actionable insights.
Foster a data-driven culture, promoting data literacy, inclusive leadership, coaching, and development of high-performing teams.

Requirements:

Bachelor’s or advanced degree in Computer Science, Data Science, Information Systems, or Business Administration.
12–14+ years of experience in data architecture, analytics, or BI, with 4+ years in senior leadership roles.
Proven expertise with Snowflake, Databricks, Oracle, Informatica, and PowerBI.
Strong project and program management, vendor negotiation, and budget oversight skills.
Experience with AI/ML, predictive modeling, and MLOps is highly desirable.
Demonstrated ability to lead cross-functional teams and manage complex enterprise initiatives.
Strong strategic thinking, problem-solving, and communication skills to influence stakeholders and drive adoption of data solutions.
Experience fostering a culture of data literacy and continuous improvement across enterprise teams.

Benefits:

Competitive annual salary range: $200,000–$280,000, with eligibility for bonus/incentive pay.
Fully remote work arrangement within the U.S., with occasional national travel for business needs.
Comprehensive health, dental, and vision insurance coverage.
401(k) plan and additional benefits contributing to work-life balance.
Opportunities to lead high-impact, innovative data and AI initiatives across the enterprise.
Flexible and inclusive culture emphasizing collaboration, development, and continuous improvement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Director of Enterprise Data & AI Strategy

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