Lead and act as a reference for the client/business vision; build relationships with internal stakeholders and be ready to support team development.
Be business-driven: understand the day-to-day of business and operations areas, work with key metrics, processes and needs. Think about what the business requires to meet its goals and serve the customer.
Share knowledge with peers by documenting, communicating and enabling access to information.
Act with ownership, seeking best practices in implementing requests, processes and technologies with a focus on results and deliveries.
Communicate assertively and clearly, serving as the interface with key stakeholders across multiple business areas. Identify, define and manage scopes for short-, medium- and long-term needs.
Demonstrate strong logical reasoning, critical thinking, organization and agility in problem solving.
Be proactive, focused and have a strong ability to work in a team.
Manage projects and programs related to data, involving multiple squads and technically/ functionally complex scopes.
Build and maintain high-level and detailed delivery plans (roadmaps, schedules, milestones), promoting predictability.
Ensure business readiness by coordinating communications, training, documentation and alignment with business areas.
Facilitate agile ceremonies and processes, such as Sprint Planning, Reviews and Retrospectives, when applicable to the project.
Orchestrate technical and operational dependencies, collaborating with data engineering, product, architecture and governance teams.
Establish communication rituals and cadences with internal and external stakeholders, reporting metrics and progress.
Organize final deliverables such as go-live kits, operational guides, support plans and training tracks.
Requirements
Leadership: Ability to coordinate multiple teams and organizational levels with clarity, empathy and results orientation.
Executive communication: Able to navigate between technical and business areas, adapting language and reporting.
Product and delivery mindset: Understand the full lifecycle of data solutions — from engineering to business application.
Autonomy and ownership: High capacity for self-management, prioritization and decision-making in ambiguous environments.
Preferred:
- Advanced Spanish
- Data governance (DAMA, LGPD, catalogs, data quality, lineage)
- Visualization tools: Power BI, Looker, Tableau, Metabase
- Project management tools: Jira, Confluence, Azure DevOps, MS Project
- Agile and traditional methodologies: Scrum, Kanban, SAFe, and PMBOK, PRINCE2
- Knowledge of data products, data mesh and modern architectures (data lake, cloud, event-driven)
- Data storytelling: ability to turn indicators and metrics into actionable narratives.
Benefits
Competitive compensation based on experience
Opportunities for growth within the company and participation in strategic projects
Dynamic and challenging work environment
Opportunity to work at a fast-growing company in the market.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.