Leads end-to-end delivery of global R&D analytics and data initiatives, managing plans, budgets, risks, dependencies, governance, stakeholders, vendors, and transitions to business-as-usual operations. The role aligns analytics roadmaps with enterprise technology standards, coordinates cross-functional teams, prepares portfolio reporting, and applies Agile, Waterfall, or hybrid delivery methods to achieve measurable business outcomes.
Job Description:
This is an exciting opportunity to join the Enterprise Technology Digital R&D team, who are responsible for the strategy and governance of R&D digital ecosystem and delivery of new digital capabilities meeting the needs of corporate and functional strategies across the R&D function in Mars Inc.
The Enterprise Technology Project Manager – R&D Analytics leads the delivery of technology initiatives across the R&D Analytics portfolio. The role manages end-to-end project execution following the PMX framework, including planning, budget, stakeholder engagement, risk management, governance, vendor coordination, and BAU transition. The Project Manager ensures projects are delivered on time, within budget, and aligned with business objectives and enterprise standards.
The role works in close partnership with Corporate R&D Analytics, Enterprise Technology, Business Data Solutions (BDS), Enterprise Architecture (EA), and segment stakeholders to translate the analytics roadmap into executable projects and measurable business outcomes.
The Project Manager ensures effective delivery governance, manages cross-functional dependencies, monitors investment and delivery performance, and helps teams overcome obstacles to deliver trusted, scalable, and business-relevant analytics capabilities.
Key Responsibilities:
Analytics Project Delivery
- Lead end-to-end delivery of analytics and data initiatives, ensuring alignment with agreed business priorities and technology roadmaps.
- Translate strategic priorities into project plans, milestones, deliverables, resource requirements, and measurable outcomes.
- Coordinate business, data, analytics, engineering, architecture, and technology teams across multiple geographies.
- Manage project scope, timelines, budgets, risks, issues, dependencies, and change requests.
- Ensure delivery teams maintain clear accountability for commitments and deliverables.
- Support deployment, adoption, and transition of analytics capabilities into ongoing operations.
Enterprise R&D Analytics Roadmap
- Manage a portfolio of analytics initiatives spanning relevant R&D business areas and segments.
- Ensure alignment between business requirements, data availability, technical architecture, and delivery capacity.
- Identify dependencies and potential conflicts across analytics initiatives, platforms, and teams.
- Support prioritization and planning by providing transparent information on delivery progress, capacity, risks, and expected benefits.
Governance and Stakeholder Engagement
- Support advanced analytics governance by coordinating project status, dependencies, and required stakeholder decisions.
- Prepare clear status reports, executive updates, portfolio dashboards, and steering committee materials.
- Facilitate alignment across Corporate R&D Analytics, Enterprise Technology, BDS, EA, and segment teams.
- Proactively identify and escalate blockers requiring leadership support.
- Ensure decisions, actions, and delivery commitments are documented and followed through.
Delivery Excellence and Continuous Improvement
- Apply Agile, Waterfall, or hybrid project management approaches according to initiative requirements.
- Promote collaboration between business stakeholders and technical delivery teams.
- Identify opportunities to improve delivery processes, portfolio reporting, and governance effectiveness.
- Support consistent standards for project documentation, risk management, and delivery reporting.
- Encourage early identification of delivery challenges and a proactive, solution-oriented mindset.
- Follow Project Management Excellence to ensure compliance with Mars framwork.
Job Qualifications:
- 8+ years in delivery of digital capabilities within a business function, preferably in the CPG industry.
- Bachelor degree in IT, Business or relevant business function
- Functional expertise and awareness in core R&D processes, with strong understanding of R&D data, analytics, reporting, and business intelligence capabilities.
- Strong ability to lead and influence in a matrix organisation
- Experience of leading projects using both Agile & Waterfall methodologies.
- Experience working in a product-oriented organisation
- Project Management experience working with Global Teams (multi-segment).
- PMP certified preferred.
- Familiarity with enterprise data platforms, cloud technologies, data governance, and analytics solutions is preferred.
- Budget management and financial acumen.
- Risk management and change management expertise.
- Excellent communication, facilitation, and problem-solving skills.
- Fluency in English and experience working with geographically distributed teams.
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