Project Manager, Analytics

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

Roles & Responsibilities

• Project Management of Migrations, Transformation, Technology or Continuous Improvement initiatives. Leading teams through the lifecycle of the project from Initiating through to delivery and finalizing business case.
• Own the entire delivery lifecycle of all Portfolio projects within the Data & Analytics space, with direct responsibility in managing the project budget & business case, functional scope, build quality, deployment schedule and operational readiness for all processes in the delivery scope.
• Manage Pre-project Execution: AR (funding request), Business Case, SOW/contracting.
• Project Execution: Leverage MDLZs Toll Gate Methodology across all phases of the project and associated project & release management / governance (PMO) standards.
• Project Health: Scorecards, Status Reporting, Monthly Review Meetings
• External Resource Management/Labor utilization.
• Own the relationship with the external vendors delivering projects within process area, this also includes quality assurance with MDLZ & External partners in all phases of project delivery till project is successfully transitioned to sustain organization in Service Management & Operation function.
• Partners with Towers and business stakeholders by driving Steerco meetings.
• Helping the team continuously make progress on the project by making sure each person is working on the right tasks, helping to remove any obstacles to the team members' progress, and protecting the team from distractions.
• Act as a point of contact for all the requests to be raised with the different teams and functions.
• Accountable for best practice deployment / execution around project management and governance.
• Being proactive in identifying and managing risks and what is coming down; and communicating with key stakeholders in a productive and engaging manner is critical to the success.
• Project Tools: workplan, RAID log, project charter, Tollgate tracker, SharePoint, RACI, etc.
• Agile/DevOps Tools: Azure DevOps, Jira Software, GitHub understanding preferred.

Qualifications

• Bachelor's degree in computer science, Business, a related discipline, or equivalent work experience.
• A Minimum of 5+ years Project Management / PMO experience, with 3+ years Agile experience, and at least 1 year of experience working directly on AI initiatives.
• Willing to Travel (approx. 5-10%).
• A track record of coaching for large teams in Agile transformations, with proven knowledge of the application of Lean agile and agile at scale; with demonstrated abilities to coach and lead the cultural and organizational change to make it work.
• Deep expertise in Agile methodologies and frameworks.
• Expert in Agile, Scrum, Kanban, Scaled Agile Framework (SAFe), Extreme Programming (XP), Test Driven Development (TDD), or other formal software engineering frameworks and practices.
• Ability to take ambiguous topics and translate into actionable plans working with multiple business, operational and technical stakeholders.
• Very strong written and verbal communication skills.
• Business acumen / Team Leadership skills (Inclusion), Conceptual and analytic skills.
• Ability to learn new technology quickly, demonstrated by experience in Data Analytics / Data Science / AI.
• Strong team player with outstanding communication, organization.
• Experience in Agile techniques such as User Stories, Continuous Integration, Continuous Testing, Pairing, Automated Testing, etc.
• Experience with tools such as Azure ADO, JIRA, and AI technologies.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science