Director, Data & AI Technology (Supply Chain)

CONAGRA•Omaha, NE

1d•$135,000 - $200,000

About The Position

Conagra Brands is seeking a Data Principal to lead the strategy and delivery of data, analytics, automation, and AI capabilities across critical business areas. In this role, you will partner closely with senior business and technology leaders to translate strategic priorities into scalable solutions that improve decision-making, operational performance, and innovation. Reporting to the VP, Information Technology, you will own a portfolio of data, automation, and AI initiatives, including strategy, roadmap, prioritization, and value realization. You will play a highly visible role in advancing enterprise data capabilities by connecting business needs with modern platforms and driving solutions that deliver measurable outcomes. This role is ideal for a leader who can combine business partnership, portfolio ownership, and technical direction to turn enterprise data strategy into practical, high-impact execution at scale.

Requirements

Bachelor’s degree in computer science, information systems, engineering, or a related field; advanced degree preferred
12+ years of experience in data, analytics, automation, or related technology domains
5+ years of experience leading teams and delivering enterprise-scale initiatives
Proven track record of driving data, analytics, or AI solutions in complex, matrixed organizations
Strong business acumen across functions such as Sales, Supply Chain, R&D, or Operations
Experience translating business needs into technology solutions and delivering measurable outcomes
Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or similar technologies
Familiarity with enterprise systems such as SAP and related platforms
Strong understanding of data governance, data quality, security, and responsible AI practices
Experience managing budgets, vendors, and large-scale portfolios
Strong communication skills, with the ability to clearly articulate technical concepts, tradeoffs, and business value
Demonstrated ability to lead teams, build relationships, and drive results through collaboration and influence

Responsibilities

Define and lead the data, analytics, automation, and AI strategy for assigned business areas, aligned to enterprise priorities and measurable outcomes
Partner with senior business and functional leaders to shape priorities, align investments, and ensure solutions support business needs
Own and lead a portfolio of initiatives, including roadmap development, investment prioritization, and value realization
Deliver measurable business impact by connecting data, analytics, and automation to core business processes and decisions
Identify and address data and process gaps that limit speed, visibility, or effectiveness
Balance speed, scalability, and long-term sustainability to maximize value delivery
Lead end-to-end delivery of data products, automation solutions, and AI capabilities
Establish clear ownership and accountability across product lifecycle, prioritization, and outcomes
Oversee roadmap execution, cross-team dependencies, and alignment with enterprise initiatives
Provide technical leadership across data engineering, analytics, and AI enablement
Establish standards for data quality, governance, security, and responsible AI
Build and lead a high-performing team of data, engineering, and solution professionals
Foster a culture of accountability, collaboration, and continuous improvement
Communicate progress, risks, and outcomes to senior business and technology leadership
Manage external vendors and ensure compliance with governance and regulatory requirements