Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
The
Data Strategy and Execution Lead will own the Trading and Risk Management (TRM) data strategy and drive its execution: translating trading ambitions into a prioritized roadmap of trusted, governed and reusable data products, and defining the information architecture required for AI-enabled trading.
This is a hands-on leadership role for someone equally credible shaping strategy with executives and challenging a pipeline design with engineers. You will partner with data teams across the organization to drive execution and convert fragmented demand into measurable business outcomes.
Key Accountabilities
- DATA STRATEGY & ROADMAP: Defines the TRM data strategy, target state, priorities and value cases. Translates trading and risk-management ambitions into a sequenced roadmap, investment choices, measurable outcomes and an execution backlog, partnering with the product teams across the organization. Leads directly or partners with other data teams to evolve critical datasets into governed, high-quality, reusable data products fit for analytics, AI and trading needs. Works across the organization to define clear ownership, stewardship, quality standards and lifecycle management.
- INFORMATION ARCHITECTURE: Shape, balancing corporate standards and specific trading and risk management needs, and steward the TRM information architecture, including data products, domain and semantic models, metadata, lineage and AI-ready foundations. Ensures architecture decisions support discoverability, reuse, interoperability and trusted decision-making. Partners with data functions, data architecture, security and governance teams to adopt common standards and operating models across data capture, storage, transformation and access while defining well-governed exceptions when required to meet distinctive TRM needs.
- DEEP TECHNICAL LEADERSHIP: Serves as the technical authority for TRM data engineering. Reviews and challenges platform, pipeline, modeling and integration designs; guides engineers through complex trade-offs; and ensures solutions are scalable, observable, resilient, secure, maintainable and ready for advanced analytics and AI workloads for TRM.Provides leadership and guidance to product teams to address high-value needs and successfully executes the TRM data strategy. Converts fragmented or ad hoc requests into a transparent, prioritized backlog with clear delivery metrics and business outcomes.
- TRADING DOMAIN PARTNERSHIP: Builds trusted relationships with trading, risk, operations and technology leaders to understand decision workflows, identify data constraints and shape pragmatic solutions. Communicates complex data and architecture choices clearly to executive and technical audiences.
- CAPABILITY BUILDING: Develops and coaches high-performing data resources across teams. Clarifies roles and ways of working across data strategy, architecture, engineering, product ownership and stewardship, while strengthening data-product and AI-readiness capabilities across TRM.
Qualifications
- Minimum requirement of 8 years of relevant work experience.
- Preferred candidates will typically bring 10+ years of progressive experience spanning data strategy, information architecture, data products, governance and execution, including leadership in a complex trading, commodities, financial-markets or risk-management environment.
Role-Specific Capabilities & Experience
- DEEP DATA ENGINEERING & PLATFORM EXPERTISE: Deep, hands-on engineering credibility on a modern cloud data stack in complex, mission-critical environments, combined with the architectural judgement to choose the right platform pattern and make governed data consumable by analytics and AI. Proven depth across data pipelines, distributed processing, data modeling, lineage, data quality, orchestration and production. Strong command of cloud-native and event-driven architectures, batch and streaming patterns, APIs and data contracts, and the judgement to make deliberate platform and cost trade-offs. Familiarity with agent-oriented data access patterns and with the tension between broad, cross-domain access and least-privilege controls is a strong advantage.
- TRADING & RISK DOMAIN EXPERIENCE: Demonstrated understanding of front-to-back trading and risk-management processes, decision workflows and data needs. Experience in commodities or another asset-intensive trading environment is strongly preferred.
- STRATEGIC DATA LEADERSHIP: Proven ability to translate business strategy into data capabilities, target-state architecture, roadmaps, investment priorities and measurable value.
- COMMUNICATION AND PARTNERSHIP: Clear, influential leader who brings clarity to ambiguity, challenges constructively and inspires action across organizational boundaries. Delivers results by mobilizing capabilities across multiple teams and using strong influencing and negotiation skills with business, engineering, architecture and governance stakeholders. Balances speed to market with enterprise standards and sustainable design.
- EDUCATION: Bachelor's degree in computer science, engineering, information systems, data management or a related field, or equivalent practical experience. An advanced degree is valued but not required.
Additional Applicant Information
The expected salary for this position is $150,000- $215,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
Our OfferWe provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.
We welcome applications from people with disabilities and are committed to providing an inclusive, accessible recruitment process and workplace. We encourage candidates to let us know if they require any accommodations during the recruitment or interview process so we can support them appropriately.
Interested? Then make sure to send us your CV and cover letter in English today: Follow us on LinkedIn: https://www.linkedin.com/company/cargill Cargill is committed to being an inclusive employer. Click here to find out more https://careers.cargill.com/diversity/
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