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.
Local
São Paulo - SP
Presencial
Responsabilidades
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Promote visibility and collaboration across CI&T teams and other consultancies operating within the PepsiCo data ecosystem (e.g., Indícium, Acesso), reducing silos and fostering integrated portfolio management.
- Support the ongoing structuring of data governance processes, including the rollout of AIOps practices, PI planning, and unified sprint models across all teams.
- Identify risks, blockers, and capacity issues across the portfolio proactively, escalating appropriately and proposing mitigation strategies to keep delivery on track.
- 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.
Requisitos
- 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
Diferenciais
- 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 tool
Sobre a empresa
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
- 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
Diferenciais
- 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 tool
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