Chief Data Strategist, Brazil
3 semanas atrás
We are specialists in driving tech transformation, combining the disruptive power of Artificial Intelligence with human expertise to support large companies navigating changes in technology and business.
With 30 years of experience, 6,000 employees, offices in 10 countries and talents across 5 continents, we operate in the fields of design, strategy, and engineering for global brands.
We help clients achieve the full potential of technology as a force for good by leveraging our unique blend of technical expertise and human-centric approach.
About the RoleJob Summary:The Chief Data Strategist will lead major data architecture projects, ensuring alignment with company culture and values. They will provide technical guidance to the team and clients, including those without a technical background.
The ideal candidate will have a strong understanding of DataOps principles and practices, exceptional leadership and mentoring abilities, and proficiency in making strategic decisions about data architecture.
They will also have experience in implementing secure and efficient data lifecycle management solutions and excellent communication skills to engage with both technical and non-technical stakeholders.
Key Responsibilities- Lead major data architecture projects, ensuring alignment with company culture and values.
- Provide technical guidance to the team and clients, including those without a technical background.
- Mentor team members, promoting continuous learning and inclusive leadership.
- Develop successors and foster an environment of continuous learning and innovation.
- Make critical decisions regarding data architecture based on project requirements and strategic objectives.
- Implement innovative data architecture methodologies with a focus on AI and FLOW.
- Guide the team in using agile methods to efficiently complete projects.
- Ensure data systems align with business needs and client satisfaction.
- Proven experience as a senior technical leader on data platform programs, including building or migrating large data platforms.
- Expertise with one or more of the major cloud providers (AWS, Azure, Google Cloud), Snowflake, and/or Databricks.
- Strong understanding of DataOps principles and practices.
- Exceptional leadership and mentoring abilities.
- Proficiency in making strategic decisions about data architecture.
- Experience in implementing secure and efficient data lifecycle management solutions.
- Excellent communication skills, capable of engaging with both technical and non-technical stakeholders.
- Proven ability to drive innovation and continuous learning within a team.
- Experience with AI applied to the data field.
- Strong project management skills with experience in agile methodologies.
This is a highly rewarding role that offers a competitive salary and comprehensive benefits package, including health insurance, meal allowances, childcare assistance, extended parental leave, and many others.
The estimated annual salary for this position is $120,000 - $180,000 per year.
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