Risk Data Governance Lead [Integrated Risk Management]
Plata Card
Salary undisclosed
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Description
We are looking for a Risk Data Governance Lead to own and transform our risk data infrastructure into an LLM-agent-ready state.
This is a unique role at the intersection of data engineering, data governance, and risk analytics — you will ensure that both humans and AI agents can reliably consume, query, and act on our risk data.
You will lead a small team of analytics engineers and serve as an agent of change across departments — pushing for data quality, enforcing standards, and building the foundation that enables the entire risk function to scale. As we expand to new countries, you will design the group-wide data governance framework from the ground up.
Challenges that await you:
- Lead risk data infrastructure to LLM-agent-ready state. Own the full stack of data quality across 40+ analytical tables in Snowflake, spanning 4 product lines and multiple provisioning frameworks (MxGAAP, IFRS, internal). Define and enforce SLAs, build observability for datamarts across all DMBOK quality dimensions (freshness, completeness, accuracy, consistency, timeliness, validity, uniqueness), and drive metadata and lineage completeness. Choose and maintain the right tooling (Git-based, wiki, or hybrid) for documenting schemas, business concepts, query patterns, and pitfalls
- Design and evolve the LLM context layer. We already maintain a structured knowledge base covering risk data tables, business concept definitions, and query patterns — your job is to scale and formalize this into a production-grade context layer that AI agents can autonomously consume. You will shape how both humans and machines reliably query, interpret, and act on the same data infrastructure
- Be an agent of change across departments. Lead by example in interactions with DWH, Finance, and other teams. Create data quality requirements, push for standards adoption, and translate risk analytics needs into concrete data platform requirements. You represent risk’s data interests externally
- Lead a team of 2–3 analytics engineers. Manage their work, grow their skills, and ensure delivery on datamart development, ETL pipelines, and data quality initiatives. Build a culture of ownership and technical excellence within the team
- Build a group-wide risk data governance framework. As Plata expands into new countries, design and implement data governance standards that scale across geographies. Define reusable patterns for risk data infrastructure that can be rolled out to new markets. The scope of both the framework and the team will grow with the company
What makes you a great fit:
- 5+ years in data engineering, analytics engineering, or data governance roles
- Experience leading or mentoring a small technical team (2–5 people)
- Strong SQL skills and hands-on experience with Snowflake or comparable cloud data warehouses (BigQuery, Redshift)
- Experience with dbt or similar transformation frameworks — we use dbt in production and you will govern the transformation layer
- Track record of driving data quality improvements in a cross-functional environment
- Experience building or maintaining data documentation, metadata catalogs, or knowledge bases
- Hands-on experience with LLM/AI agents and a clear understanding of what makes data infrastructure agent-consumable — you will build this into the foundation of the role
- Comfortable operating in a fast-moving environment with ambiguity — you define the standards, not just follow them
- B2 or higher English level for effective communication with an international team
Nice to have
- Experience in risk management, banking, or fintech data
- Familiarity with Airflow or similar orchestration tools
- Experience with regulatory data requirements (CNBV, IFRS 9, Basel)
- Russian language skills (many team members are Russian-speaking)
- Experience building data governance frameworks across multiple countries or business units
Our ways of working:
- Innovative Spirit: a commitment to creativity and groundbreaking solutions
- Honest Feedback: valuing open, transparent communication
- Supportive Team: a strong, collaborative community
- Celebrating Achievements: recognizing our wins together
- High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
- Relocation support to one of our hubs — Mexico, Cyprus, Spain, Serbia — with assistance for the employee and their family
- Flexible work from one of our offices or remote
- Healthcare Coverage
- Education Budget: Language lessons, professional training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation Policy: Annual leave and paid sick leave as per applicable policies
Benefits
- sick leave
About this role
Plata Card is building out its risk data infrastructure to support both human analysts and AI agents, and this role sits at the center of that transformation. You would own the full data quality stack across 40+ analytical tables in Snowflake, define and enforce SLAs across multiple provisioning frameworks, and design a production-grade context layer that makes risk data reliably consumable by LLM agents. The work spans the entire DMBOK quality spectrum—freshness, completeness, accuracy, consistency—and includes choosing and maintaining the tooling for schema documentation, business concepts, and query patterns that both teams and machines will depend on.
Leading a team of 2–3 analytics engineers, you would also function as a cross-departmental advocate for data standards, translating risk analytics needs into concrete platform requirements and pushing for adoption across DWH, Finance, and other functions. As Plata expands into new countries, you will design and implement a scalable group-wide risk data governance framework from the ground up, establishing reusable patterns that roll out to new markets as the company grows.
This role demands 5+ years in data engineering, analytics engineering, or governance, hands-on mastery of SQL and Snowflake, and proven experience with dbt or similar transformation frameworks. You need a track record of driving data quality improvements cross-functionally and hands-on experience building or maintaining data documentation and metadata catalogs. Critically, you should have direct experience with LLM and AI agents and a clear understanding of what makes data infrastructure agent-consumable. The role is in-office in Sydney and suits someone comfortable defining standards in a fast-moving environment rather than simply following them.
How this employer is doing
solid
- Recently Raised Funding
In the news
Plata Card raises $55M through the issuance of bonds, LatamList
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Pay for this role
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