At a Glance
- Tasks: Lead data product management and analytics to drive business performance.
- Company: Join Mondelēz International, a leader in the snacking industry.
- Benefits: Competitive salary, bonus program, health benefits, and flexible work environment.
- Other info: Embrace diversity and enjoy excellent career growth opportunities.
- Why this job: Make an impact with data while working on exciting projects in a dynamic team.
- Qualifications: 5+ years in data product management and strong analytical skills required.
The predicted salary is between 93300 - 116650 $ per year.
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
- 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
- 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
More about this role
In this role you will lead end‑to‑end lifecycle ownership of one or more Data Products on Mondelēz's DBx‑based enterprise data platform. Accountable for requirements, roadmap, design governance, delivery quality, operational oversight, and retirement execution. Combines strategic product ownership with hands‑on analytical execution.
What this team and role does
Part of the MDS Data Products team driving AI‑native transformation. Global data product strategy, delivery, and governance across the full lifecycle (demand intake → discovery → design → build → test → deploy → operate → retire). Works at the intersection of business strategy, data governance, and technical delivery.
What you will bring
- Experience bridging business and technical teams in data product delivery
- Passion for data governance and quality
- Strong stakeholder management across various stakeholders
Job Requirements
- Own and maintain the data product roadmap
- Facilitate data contracts with stakeholders
- Engage with cross functional teams on demand prioritization and enterprise‑level decisions
- Lead requirements gathering, functional analysis, fit‑gap assessments and scoping
- Oversee design fitment, source discovery, and Source‑to‑Target Mapping (STTM)
- Approve initial designs, HLD, DIF documentation
- Execute STTM mapping and document gap findings
- Approve DQ validation, KPI acceptance, and release documentation
- Prepare test cases, execute test scripts, and produce test evidence documentation
- Coordinate UAT logistics - liaise with business stakeholders and document outcomes
- Own UAT sign‑off and Data Product assessments
- Drive and own the Data Product Certification process
- Prepare certification artefacts and supporting documentation
- Own data product release and CAB documentation
Specific Skills and Experiences
- Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
- 5+ years in data product management, data analytics, or data engineering roles
- Strong understanding of data lifecycle management (ingestion through retirement)
- Experience with cloud data platforms (GCP/BigQuery preferred)
- Hands‑on experience with STTM mapping, DQ validation, and data quality frameworks
- Familiarity with data governance frameworks, metadata management, and data contracts
- Experience working in Agile/Scrum delivery environments
- Strong stakeholder management and communication skills
Good to Have Skills and Experiences
- Experience with DBT, Airflow/Composer, or similar data pipeline tools
- Knowledge of FAIR data principles and data certification frameworks
- Background in FMCG/CPG industry data environments
- Familiarity with data catalog tools (Collibra, Alation, Dataplex)
- Understanding of canonical data modeling and enterprise data standards
- Experience with Jira and ADO
Work Structure
Monday to Friday - Hybrid
Salary and Benefits
The expected base salary range for this position is $93,300 to $116,650 CAD depending on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible to participate in a highly competitive bonus program with a target of 10% with the possibility for overachievement based on performance and company results. Mondelez also offers several generous employee benefits (some subsidized or fully paid for by the company), including health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, and enhanced vacation and holiday entitlements.
Mondelez welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates with disabilities taking part in all aspects of the selection process.
Data Product Manager in Toronto employer: Mondelēz International
At Mondelēz International, we pride ourselves on being an exceptional employer in Ontario, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programs and opportunities for advancement, all while promoting a zero-loss culture that prioritizes safety and quality. Join us to be part of a forward-thinking team dedicated to driving production excellence and making a meaningful impact in the food industry.
