Technical Lead, Data
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Job Description
Technical Data Leader at Gedanken leading the data strategy in a complex B2B environment. Building foundations for data maturity and governance in the company.
Responsibilities:
- Define and evolve the data vision and strategy aligned with business, product and technology goals.
- Act as the main technical and strategic reference for data, connecting business needs to scalable and sustainable solutions.
- Build solid data foundations in a context that is still being structured, with a long-term and reliability-focused perspective.
- Lead the evolution of data architecture in cloud environments, including analytical and transactional databases (e.g., AlloyDB).
- Design and implement data ingestion, transformation and consumption pipelines.
- Integrate and orchestrate multiple external sources, APIs, partners, vendors and legacy systems.
- Define modeling standards, analytical layers, metrics and shared semantics.
- Ensure data quality, security, traceability and consistency throughout the entire lifecycle.
- Establish analytics practices that support product, business, operations and strategic decisions.
- Ensure that metrics, dashboards and analyses are reliable, actionable and understandable across different teams.
- Work closely with leadership to turn data into relevant insights and real impact.
- Define governance, quality, access, security and compliance policies appropriate for a B2B context.
- Promote conscious and correct use of data, supporting teams in reading and interpreting information.
- Balance speed and rigor, ensuring data accessibility without compromising control and reliability.
- Structure and develop the data team, defining roles, responsibilities and operating model.
- Act as a hands-on leader, supporting the technical and professional growth of team members.
- Lead hiring, onboarding and the area’s growth as the company evolves.
- Work in an integrated way with Product, Engineering, Operations, Design and Sales.
- Act as a strategic partner to leadership, translating business questions into data-driven solutions.
- Communicate technical concepts clearly to non-technical audiences, including executive leadership.
Requirements:
- Solid experience in data, analytics or data engineering in complex, business-oriented environments.
- Previous experience leading data teams or strong technical-strategic ownership.
- Experience with cloud data architecture, relational and analytic databases (AlloyDB or similar).
- Strong knowledge of data integration, pipelines, modeling, quality and governance.
- Experience with multiple external data sources and B2B ecosystems.
- Builder mindset, with the ability to operate in contexts still under development.
- Excellent communication, collaboration and influencing skills.
- Preferred: interest or experience with AI and automation applied to data, analytics and decision support.
Benefits:
- Allowance
- Profit-sharing (PLR) according to current policy
- Paid time off
- Birthday day off
- 3-year passport
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