Global Data & Analytics Leader

Seaboard Corporation

Merriam (KS)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Seaboard Overseas and Trading Group, a division of Seaboard Corporation, seeks a Data & Analytics Manager to lead a centralized global data function, translate business strategy into data priorities, and deliver reliable analytics across all departments.

This role blends strategic leadership with hands-on contribution, coaching a small team, building a Data Champion network, ensuring data governance, AI readiness, and insightful reporting for stakeholders worldwide.

Qualifications

Bachelor's degree in Business/IT/Data Analytics required.
5+ years of experience in data analytics, BI, or related field.
2+ years in a leadership role within a data function.
Proven ability to translate business requirements into analytical deliverables.
Strong working knowledge of BI platforms (AWS, Power BI, Fabric, Tableau, Looker, Alteryx, or equivalent).
Proficiency in SQL; comfortable reviewing and guiding work in Python or R.
Experience managing stakeholder relationships across multiple departments or regions.

Responsibilities

Lead, mentor, and develop a close-knit data team.
Conduct regular 1:1s focused on performance, growth, and wellbeing.
Set clear goals and success metrics for each team member, aligned to organizational priorities.
Identify skills gaps and create development plans to address them.
Foster a team culture of curiosity, rigor, and psychological safety.
Advocate for team capacity, tooling, and headcount as the function scales.
Own the team's intake and prioritization process - ensuring the right work gets done in the right order.
Run a lightweight agile or sprint-based delivery model suited to a small, globally-facing team.
Balance reactive business requests with proactive investment in platform quality and AI readiness.
Maintain a visible roadmap that communicates priorities and timelines to stakeholders.
Escalate resourcing conflicts and tradeoff decisions to the VP / Director with clear recommendations.
Serve as the primary point of contact for data and analytics needs across all business units.
Build trusted relationships with department heads, regional leaders, and senior executives.
Translate business questions into analytical briefs and data requirements for the technical team.
Communicate findings, limitations, and recommendations in clear, non-technical language.
Proactively surface data insights to stakeholders who may not know to ask for them.
Own the design, launch, and ongoing operation of the global Data Champion program.
Define the champion selection criteria and work with regional leaders to identify candidates.
Develop and deliver the champion onboarding and certification curriculum.
Run the biweekly champion sync and quarterly capability workshops.
Conduct monthly quality audits of champion-produced content.
Advocate for champion recognition within their home business units.
Maintain the champion network documentation, training library, and internal data catalog.
Scale the network thoughtfully as the organization grows - including regional lead appointments.
Define and enforce enterprise data standards - metric definitions, naming conventions, certification criteria.
Maintain a tiered content model (certified vs. community) in the BI platform.
Work with the Data Engineer to establish and monitor data quality frameworks.
Ensure compliance with data privacy regulations across all regions of operation.
Own the data dictionary and ensure it stays current and accessible to champions and stakeholders.
Partner with the VP / Director to develop and execute the data roadmap in support of AI initiatives.
Ensure the team's data infrastructure work is aligned to AI readiness requirements.
Evaluate new tools, platforms, and methodologies and make recommendations for adoption.
Represent the data function in cross-functional AI and technology planning discussions.
Collaborate with VP / Director on building the internal case for future headcount (e.g., AI/ML Engineer) with data-backed justifications.
Publish a monthly global data health report covering team output, champion activity, and data quality metrics.
Track and communicate the business impact of the data function to senior leadership.
Monitor platform usage across the organization and use it to guide enablement priorities.
Contribute to the annual planning process with capacity analysis and investment recommendations.