We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

==> Only CV in English will be consider

==> Only Fluent English - C1 or higher speakers will be consider  (you´ll have a lot of interaction with clients and stakeholders in US daily). 

==> 100% remote

We are seeking a knowledgeable and skilled Data Steward to join our team. This role is accountable for ensuring quality, governance, and usability of data across the organization through metadata collection and communication across all data governance policies, managing data quality, and source data-related requests.

Key Skills

Expertise

• Deep dive into industry-specific concepts, business rules, and data requirements.

• Familiarity with data management.

• Knowledge of data quality standards, data contracts, and data governance.

• Familiarity with data governance concepts and practices.

• Data Manipulation and Transformation (ETL/ELT)

• DataBricks Familiarity

• Programming Logic

• Python understanding

Individual Skills

• Strong ability to navigate enterprise management issues.

• Exceptional problem-solving skills along with strong resilience.

• Excellent communication and negotiation skills; able to articulate and negotiate effectively.

Mindset & Behaviors

• Strong sense of ownership, accountability, and collaborative working behaviors.

• Flexibility to adapt data governance and data stewardship execution.

Responsibilities

• Manage metadata-related requests and documentation.

• Act as a business/governance analyst to document and manage data-related topics.

• Work with source data owners and business partners to ensure documented data ownership.

• Follow data governance policy and standards.

• Identify data issues and escalate through the proper governance process.

• Profile and create basic data quality checks.

Qualifications

• Proven experience in Data Governance, with a strong understanding of data management principles and practices.

• Familiarity with Data Engineering concepts, including data ingestion processes and tools, particularly in Databricks.

• Strong communication skills in English, with the ability to convey complex information clearly and effectively.

• A balance of soft skills, including teamwork, adaptability, and conflict resolution.