Data Transformation Leader
vor 2 Wochen
Reimagine data-driven leadership at Trust In SODA, a pioneering company disrupting the online lottery industry. Our cutting-edge tech stacks, including Github Enterprise, Kubernetes, Jenkins, Java, Redis, AWS, and on-premises infrastructure, empower innovation. Join a diverse team of 180+ multicultural individuals, united by shared values, and drive data-centric transformation.
Key Responsibilities- Develop and execute a comprehensive data strategy, aligning with business objectives.
- Establish a unified business intelligence approach, fostering data ownership and collaboration.
- Oversee and coordinate data analytics, engineering, and science teams, ensuring project success.
- Lead and manage data teams, fostering growth and maximizing impact.
- Implement robust data governance policies, procedures, and best practices.
- Establish a strong data culture, ensuring responsible and ethical data use.
- Align data acquisition, storage, management, monitoring, analysis, and dissemination with compliance frameworks.
- Spearhead data science initiatives, empowering informed decision-making.
- Provide exceptional business consulting, leveraging data to optimize operations.
- Collaborate with cross-functional teams, ensuring seamless data integration.
- Stay abreast of the latest data trends and technologies, identifying opportunities to enhance data capabilities.
- Recommend innovative data solutions, driving business growth and customer satisfaction.
- Position Trust In SODA as a data-driven leader in the industry.
Requirements:
- 10+ years of experience in Data Engineering, Data Science, or related fields, including 5+ years in a leadership role.
- Advanced Data Science working experience, either hands-on or through managerial leadership.
- Deep technical understanding of data architecture and expertise in data analytics infrastructure.
- Excel in data science concepts, practices, and methodologies.
- Proven experience leading and managing data projects, including expertise with high-scalability data platforms.
- Expertise in setting up Data Governance and Data Lifecycle Management practices.
- Comprehensive understanding of industry-specific data regulations and certifications.
- Exceptional communication skills, ensuring clear data insights and strong relationships with internal and external partners.
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