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Senior Data Governance and AI Analyst

Job not on LinkedIn

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on ASAAS's careers page, not through a job board

First seen by Remote Rocketship 15 hours ago

Still open on ASAAS's site. Checked 44 minutes ago.

Logo of ASAAS

ASAAS

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.

📋 Description

• Execute end-to-end initiatives under the data and AI governance program • Define policies, Data Owner and Data Steward roles, standards, and governance frameworks throughout the data lifecycle • Serve as a technical reference, mentoring junior and mid-level analysts and Analytics Engineers • Lead the corporate catalog using Unity Catalog or OpenMetadata, covering metadata, classification, lineage, and glossary management • Ensure documentation and adoption of the catalog by data-consuming business teams • Design and implement RBAC and the access lifecycle in partnership with Data Engineering and Identity and Access Management • Establish quality frameworks with SLAs, observability, and incident response for critical datasets • Deploy and operate cost management for the analytics sandbox, including a showback model and usage policies • Lead regulatory and privacy initiatives related to BACEN and Brazil’s LGPD • Support audits and build data dictionaries, lineage, and quality controls for regulatory data • Define governance standards for predictive AI and Generative AI, including inventories, model cards, monitoring, and responsible use • Establish governance metrics and dashboards to support leadership decision-making • Drive data literacy and secure self-service BI in partnership with the People team and Data squads

🎯 Requirements

• Proven experience in data and AI governance, including policies, processes, standards, metadata management, and cataloging • Experience with Databricks and Unity Catalog or equivalent platforms • Experience managing assets, metadata, data classification, access controls, lineage, and audits • Knowledge of relational and multidimensional data modeling and the Medallion Architecture (Bronze/Silver/Gold) • Experience working in Data Lake/Data Lakehouse environments, from ingestion through consumption • Experience designing and implementing data access management using RBAC and least-privilege models • Knowledge of information security and Brazil’s LGPD as applied to the data lifecycle • Proficiency in SQL for diagnostics, access audits, and governance metric automation • Experience defining KPIs and building dashboards with Power BI, Lakeview, or Metabase • Applied knowledge of data management frameworks such as DAMA-DMBOK or similar • Knowledge of Data Mesh architecture, DataOps/MLOps, and data operating models such as Hub-and-Spoke • Practical use of Generative AI and agents to automate tasks and optimize workflows • Bachelor’s degree in Technology or a related field • Preferred: experience with OpenMetadata • Preferred: knowledge of Python or PySpark • Preferred: certifications in data management or privacy, such as CDMP/DAMA, DCAM, or IAPP • Preferred: knowledge of Lean Six Sigma • Preferred: experience with data governance in regulated environments, including BACEN, SOX, or financial-sector audits

🏖️ Benefits

• Medical and dental insurance with no co-pay • Life insurance • Prescription medication assistance • Fitness allowance • Four free therapy or nutritionist sessions per month • Quick massage at the headquarters • Flexible meal allowance on a Visa card • Complimentary food at the headquarters • Childcare allowance • Parental support program • Extended maternity and paternity leave • In-house training platform • Education allowance covering 70% of undergraduate tuition and language courses, as well as courses and books • Home office allowance • Work equipment • Home-office furniture allowance • Partnership with WOBA for access to coworking spaces throughout Brazil • Birthday-month day off • Happy hour allowance • Referral bonus for new hires • Annual performance-based bonus • Stock option plan • No dress code

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