Global Data & Analytics Senior Manager

The Mars enterprise is undergoing an Enterprise Transformation, a critical program designed to protect the corporation at the legal and tax level. This program is highly complex, involves many interdependent programs in-flight across Mars, and must be completed within a tight timeframe, needing completion within five years (by 2030).

The Global Data & Analytics Senior Manager will lead the end-to-end Data, Analytics and Reporting agenda for a complex global business transformation.

The role is accountable for ensuring that data and reporting requirements are identified, designed and delivered consistently across business processes, functions, segments and markets. The Senior Lead will connect business needs with data architecture, technology and analytics capabilities to ensure that the future organization has reliable, accessible and decision-relevant information from day one.

The role will provide overall leadership across business reporting requirements, data definitions, data quality, data readiness, analytics and performance insights, ensuring alignment between global standards and the needs of markets and business teams.

Working closely with Business Process, Digital & Technology, functional teams, data organizations and deployment teams, the role will ensure that data is treated as a core transformation capability rather than as a downstream technology activities.

What are we looking for?

• +10 years experience in Data, Analytics, Business Intelligence or Reporting roles
• Experience leading Data & Analytics within large-scale business, specifically on Atlas ERP digital transformation programs.
• Atlas BI experience is a must.
• Strong understanding of enterprise data and reporting across multiple business functions.
• Demonstrated ability to translate business requirements into data and analytics capabilities.
• Experience defining KPIs, reporting standards and enterprise performance-management requirements.
• Strong understanding of data governance, data ownership and data-quality principles.
• Experience with data migration, data readiness and deployment activities.
• Experience with modern enterprise data platforms, analytics environments and visualization tools.
• Experience operating across global, matrixed and multi-functional organizations.
• Strong stakeholder-management and influencing capabilities at senior levels.

What will be your main responsibilities?

Data & Analytics Transformation Strategy

• Define and lead the Data, Analytics and Reporting strategy for the transformation.
• Translate business and operating-model requirements into clear data, analytics and reporting capabilities.
• Establish an integrated roadmap covering reporting, data requirements, data readiness, analytics and information management.
• Ensure alignment of data priorities across functions, processes, segments and markets.
• Identify opportunities to simplify and standardize the reporting and analytics landscape.
• Ensure future data and analytics capabilities are scalable and sustainable beyond the transformation program.

Reporting & Performance Management

• Lead the definition of future-state reporting requirements across the enterprise.
• Establish a consistent approach to management reporting, operational reporting and performance insights.
• Partner with business and functional leaders to define critical KPIs, measures, dimensions and reporting requirements.
• Drive consistency in KPI definitions and calculation methodologies across functions, markets and segments.
• Challenge duplicate, conflicting or low-value reporting and identify opportunities for simplification.
• Ensure reporting requirements are incorporated early into process and solution design.
• Support the transition from legacy reporting toward harmonized and scalable reporting capabilities.

Business Data Requirements

• Lead the identification and definition of business data requirements across end-to-end processes.
• Ensure data requirements are embedded within future-state business-process design.
• Establish clear definitions for critical business data elements and their ownership.
• Facilitate alignment across functions where the same information is created, consumed or interpreted differently.
• Ensure appropriate traceability between business processes, data requirements, reporting outputs and technology solutions.
• Identify data dependencies and gaps that may impact business readiness or deployment.

Data Governance & Ownership

• Partner with enterprise and functional Data Owners to establish strong data governance across the transformation.
• Clarify roles and accountabilities for data ownership, stewardship, quality and maintenance.
• Drive adoption of common data definitions and standards across the organization.
• Establish governance for resolving cross-functional data issues and conflicting requirements.
• Ensure data decisions are made with an enterprise perspective rather than optimized solely for individual functions.
• Support sustainable data-governance capabilities that continue after transformation delivery.

Data Quality & Readiness

• Define data-readiness expectations and quality criteria required for successful deployment.
• Establish mechanisms to assess data completeness, accuracy, consistency and readiness across markets and functions.
• Partner with deployment, business and technology teams to identify and resolve critical data-quality issues.
• Ensure appropriate ownership and remediation plans are established for data gaps.
• Provide visibility of data-readiness risks to transformation leadership and governance forums.
• Support markets in preparing business data required for successful transition to future-state processes and systems.

Data Migration & Transition

• Represent the business perspective within data migration and transition activities.
• Ensure migration scope, data requirements and business validation criteria are clearly defined.
• Partner with technical data teams to ensure migration activities support business-process and reporting requirements.
• Coordinate business validation and reconciliation of migrated data.
• Ensure appropriate controls and sign-offs are in place to support deployment readiness.
• Capture lessons from deployments and strengthen data-readiness approaches for subsequent waves.

Analytics & Insights

• Define priority analytics capabilities required to support future business performance.
• Partner with business teams to identify where analytics can improve decision-making, productivity and performance.
• Identify opportunities for advanced analytics, automation and AI-enabled insights where relevant.
• Ensure analytics use cases are grounded in clear business needs and supported by appropriate data foundations.
• Promote greater use of trusted, consistent and self-service information across the organization.
• Partner with Digital & Technology teams on the delivery and scaling of analytics capabilities.

Cross-Functional Integration

• Act as the primary Data & Analytics integration point across Business Process, Digital & Technology, functional teams and deployment organizations.
• Work closely with Business Process Transformation leadership to ensure process and data design remain fully aligned.
• Partner with Digital leadership to ensure technology platforms and data architecture enable business requirements.
• Coordinate reporting and data dependencies across transformation workstreams.
• Facilitate resolution of cross-functional data and reporting decisions.
• Represent Data & Analytics within program governance and senior transformation forums as required.

Deployment & Market Readiness

• Define Data & Analytics readiness criteria for market and business deployments.
• Ensure reporting, data quality and information requirements are incorporated into deployment plans.
• Partner with market teams to understand local reporting and data needs while protecting global standards.
• Support fit-to-standard and fit-gap activities related to data and reporting.
• Ensure critical reporting capabilities are available at go-live and during stabilization.
• Capture learning from deployments and continuously strengthen the global Data & Analytics approach.

Leadership & Capability Building

• Lead a cross-functional network of Data & Analytics resources supporting the transformation.
• Provide direction to reporting, analytics, data-management and business-data resources.
• Create clear priorities, governance and ways of working across a global matrixed organization.
• Build stronger data literacy and accountability across business teams.
• Coach stakeholders toward more disciplined, data-driven decision-making.
• Develop sustainable Data & Analytics capabilities within the organization.

What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.

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