Data Strategist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Strategist in Brazil.

This role sits at the intersection of data strategy, product management, and advanced analytics within a highly complex financial services environment. You will lead the definition and evolution of a data product strategy aimed at transforming fragmented, manual credit operations into a scalable, intelligent, and predictive data platform. Acting as the key bridge between business stakeholders and technical teams, you will translate strategic needs into structured, machine-readable specifications that can be executed by AI-driven systems and engineering teams. The position requires strong product thinking, deep understanding of data ecosystems, and the ability to operate in an AI-native delivery model. You will shape roadmaps, define success metrics, and ensure measurable business value across multiple stages of product maturity. This is a high-impact role for professionals who thrive in ambiguity and want to build data products that directly influence credit and commercial decisions.

• Lead discovery sessions with business stakeholders (credit, commercial, and executive teams) to identify needs, pain points, and opportunities, translating them into actionable product and technical specifications.
• Define, prioritize, and maintain the data product backlog using value-driven frameworks, ensuring alignment with roadmap phases such as discovery, MVP, and scale.
• Produce structured, machine-readable specifications that can be consumed by AI agents and integrated into the data knowledge base.
• Oversee the full lifecycle of data products, from ideation to activation, ensuring alignment between business goals, data quality, and user experience.
• Define and track KPIs and OKRs focused on operational efficiency, predictive accuracy, and business impact of data initiatives.
• Design data consumer experiences for different personas, including commercial and credit teams, ensuring usability through dashboards and CRM integrations.
• Collaborate closely with data architects and engineering teams to ensure technical feasibility across platforms such as AWS and Databricks.
• Support change management and adoption initiatives to ensure data products replace manual processes and are embedded into business operations.
• Communicate progress, risks, and product decisions clearly to both internal leadership and client stakeholders.

Requirements:

• 5+ years of experience in Data Product Management, Data Strategy, or Analytics roles in complex enterprise environments.
• Strong experience in financial services, such as banking, fintech, credit, insurance, or related sectors.
• Proven ability to translate business requirements into structured technical or machine-readable specifications.
• Experience with backlog prioritization frameworks such as RICE, WSJF, or equivalent methodologies.
• Familiarity with modern cloud data ecosystems, particularly AWS and Databricks, enabling informed product decisions.
• Strong stakeholder management skills, acting as a bridge between technical teams and business users.
• Ability to operate in ambiguous, fast-paced environments with a strong results-oriented mindset.
• Experience working in agile environments such as Scrum or Kanban.
• Strong communication, facilitation, and alignment skills across senior business and technical audiences.

Benefits:

• Comprehensive health and dental insurance coverage.
• Meal and food allowances.
• Extended parental leave and childcare support.
• Wellness partnerships with gym and health platforms (Wellhub/Gympass, TotalPass).
• Profit-sharing program (PLR).
• Life insurance coverage.
• Continuous learning platforms and internal university programs.
• Language learning support and online course partnerships.
• Employee discount programs and wellbeing initiatives.
• Mental, physical, and emotional health support platforms.
• Inclusive environment with dedicated wellbeing and accessibility support programs.