Job Description
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.
Accountabilities:
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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