[Job - 29159] Data Portfolio Manager, Brazil

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Project & Program ManagementPortfolio Manager

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Overview

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

Requirements Summary

Fluent English communication (C1 or above) — reading, writing, and speaking is mandatory for this position Proven experience in Data Product Management or Data Management roles, with a clear evolution toward strategic/portfolio-level…

Technical Tools

azurepower-biagiledata-visualizationetlmachine-learningpeople-managementproject-managementroadmap-planningstakeholder-management

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

As CI&T continues to scale its data practice, we are seeking a talented, motivated, and experienced Data Portfolio Manager to join our team and drive strategic oversight of a growing and complex data & analytics portfolio. This role is pivotal in bridging the gap between multiple data teams and executive leadership, ensuring that the right work is being done in the right way — and that its value is clearly communicated across the organization. The ideal candidate brings a strong sense of portfolio ownership, outstanding interpersonal skills, and the ability to thrive in a fast-paced, high-demand environment.
The Data Portfolio Manager will be 100% dedicated to the account and will oversee a portfolio spanning approximately 6 data teams, covering Advanced Analytics, Machine Learning, Data Engineering, and traditional Analytics. This position requires a unique blend of strategic vision, agile fluency, stakeholder management, and people leadership. The successful candidate does not need to be a deep technical data expert, but must have a genuine affinity with the data & AI space and a solid understanding of what drives value in data initiatives.

Responsibilities:

Portfolio Visibility & Executive Reporting: Build and maintain up-to-date executive-level materials (decks, dashboards, status reports) that communicate the Data & Analytics area's work, progress, and value to PepsiCo leadership in a clear and compelling manner.
Ways of Working & Agile Governance: Ensure all data and AI teams (~6 teams) consistently follow recommended agile methodologies and best practices in Azure DevOps, including unified sprint cadences and standardized ceremonies.
Backlog & Prioritization Guidance: Guide Data Product Managers from CI&T and partner consultancies on how to prioritize backlog items based on business value, reducing ad hoc and low-impact demands and moving toward a business-oriented backlog model.
Stakeholder Management: Act as the primary bridge between data delivery teams and PepsiCo's business and executive stakeholders, ensuring alignment on priorities, timelines, and deliverables across all workstreams.
People Leadership: Share people management duties with CI&T peers, including supporting hiring processes, conducting interviews, providing absence guidance, and contributing to the professional development and engagement of team members.
PDM Coverage: Play a Product Data Manager (PDM) role when needed, supporting team leadership with product-level decisions and ensuring data products are developed with a clear value proposition.
Cross-Team Coordination: Promote visibility and collaboration across CI&T teams and other consultancies operating within the PepsiCo data ecosystem, reducing silos and fostering integrated portfolio management.
Governance & Process Structuring: Support the ongoing structuring of data governance processes, including the rollout of AIOps practices, PI planning, and unified sprint models across all teams.
Risk & Escalation Management: Identify risks, blockers, and capacity issues across the portfolio proactively, escalating appropriately and proposing mitigation strategies to keep delivery on track.
Onboarding & Context Transfer: Quickly absorb the full complexity of the PepsiCo data landscape — including its teams, stakeholders, tools, and strategic priorities — and maintain institutional knowledge up to date.

Requirements:

Fluent English communication (C1 or above) — reading, writing, and speaking is mandatory for this position
Proven experience in Data Product Management or Data Management roles, with a clear evolution toward strategic/portfolio-level responsibilities
Strong portfolio management mindset: ability to maintain a big-picture view across multiple simultaneous workstreams
Solid experience with agile methodologies (Scrum, SAFe, or similar), including sprint planning, PI planning, and backlog refinement
Experience working with Azure DevOps or similar project management and delivery tracking tools
Demonstrated ability to produce executive-level presentations and communicate complex data initiatives to non-technical stakeholders
Strong people leadership and interpersonal skills, with the ability to build trusted relationships with demanding clients and multi-vendor environments

Nice to Have:

Experience working within large CPG (Consumer Packaged Goods) or FMCG companies, or similarly complex enterprise environments
Familiarity with data architecture concepts (ETL pipelines, dashboards, ML pipelines) — not hands-on, but sufficient to hold informed conversations
Experience managing or coordinating multi-vendor/multi-consultancy data engagements
Knowledge of AI/ML project dynamics and how to measure business value from advanced analytics initiatives
Exposure to OKR frameworks or value-based roadmap planning techniques
Experience with Power BI or similar data visualization tools at a product ownership level

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