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Kraft Heinz, Inc. seeks an experienced Management Reporting & Data SME – GBS in Mexico City to drive standardized reporting practices, data governance and self-service analytics adoption.
You will partner with sub-pillar leads and IT to ensure accurate, decision-grade outputs across the MR & DF pillar. Ideal candidates bring deep knowledge of large data set management in finance, strong analytical thinking, and a collaborative mindset to streamline reporting workflows and deploy AI-enabled
The Management Reporting & Data SME - GBS will join our Management Reporting & Data Foundations team in Mexico City as part of our Global Capability Center. This role will support and work directly with our sub-pillar leads (Americas, EPDM and Global) across the Management Reporting & Data Foundations pillar. The key responsibilities include providing deep analytical and methodological expertise on management reporting frameworks, KPI definitions, financial data governance and data quality. The SME will leverage their extensive knowledge to identify areas for process improvement and reporting modernization, ensuring management reporting outputs are consistent, accurate and decision-grade. They will act as a consultant to onshore sub-pillar leads and finance teams to drive standardized reporting practices, data governance routines and self-service analytics adoption. In addition, this position will work with IT, data engineering and the broader Finance Excellence team to identify automation opportunities and streamline reporting workflows. This position reports to the Management Reporting Manager – GBS and indirectly into the on-shore MR & DF sub-pillar leads. The ideal candidate has deep technical knowledge of large data set management applied to a finance environment with a strong analytical mind-set and attention to detail, associated with a collaborative approach.
Serve as the in-house expert on management reporting frameworks, KPI definitions and calculation methodologies. Apply and defend the standards consistently across business units, channels and product hierarchies, and arbitrate methodology disputes with onshore stakeholders.
Establish and apply financial data governance policies, master data conventions and data quality controls. Lead root-cause analysis on data discrepancies and partner with IT and data engineering teams to remediate issues at the source, improving traceability and lineage across the reporting stack.
Partner with onshore sub-pillar leads, FP&A, controllership, IT and the broader Finance Excellence team to translate business questions into reporting requirements. Translate complex data and methodology topics into clear, decision-relevant insights for non-technical finance stakeholders.
Design, build and automate executive reporting packages, KPI dashboards and self-service analytics using modern tools (Power BI, Tableau, Alteryx, Snowflake). Provide senior leadership with consistent, actionable views of enterprise financial performance.
Identify and lead initiatives to streamline reporting workflows, eliminate redundancy and improve data integrity across the MR & DF pillar. Drive adoption of automation tools (Power Automate, RPA) and AI-enabled analytics to reduce manual effort.
Identify opportunities to modernize the reporting operating model, including transitioning recurring reporting activities to the GCC, deploying self-service analytics platforms and adopting AI/ML-enabled insights. Coach junior team members on reporting standards, data tools and analytical techniques.