Risk Data Governance Lead [Integrated Risk Management]
我们正在寻找一个风险数据管理领导者,以拥有和转化我们的风险数据基础设施成为一个 LLC 代理准备状态。这是数据工程,数据治理和风险分析交叉点的独特角色你将确保人类和人工智能代理能够可靠地消费,查询和对我们的风险信息采取行动。你将领导一小组分析工程师并担任跨部门变革的代表推动数据质量,执行标准,建立使整个风险功能可以扩展的基础。随着我们向新国家拓展,你将从头开始设计全集团数据治理框架。等待你的挑战:· 领导数据风险基础设施到 LLM 代理准备状态。拥有40多个分析表中的全堆数据质量,涵盖4种产品线和多个配置框架 (MxGAAP,IFRS,内部).定义并执行 SLA,在所有 DMBOK 质量维度中建立数据的可观性 (新鲜性,完整性,精确性,一致性,及时性,有效性,独特性),驱动元数据和流程完整性。选择和保持正确的工具 (基于 Git,wiki 或混合)来记录方案,业务概念,查询模式和陷 ·设计和发展 LLM 层环境。我们已经建立了一个结构化的知识库,涵盖风险数据表,业务概念定义和查询模式。你的工作是将这些扩展并使其成为生产级的背景层,AI 代理可以自主消费。你将塑造人类和机器如何可靠地查询,解释和对同一数据基础设施采取行动 · 作为跨部门变革的代理人。在与 DWH,金融和其他团队的互动中以示例领导。创建数据质量要求,推动标准采用,并将风险分析需求转化为具体数据平台要求。你外部代表风险数据利益 · 领导23个分析工程师的团队。管理他们的工作,提高他们的技能,确保数据市场开发,ETL 管道和数据质量倡议的交付。在团队内建立所有权文化和技术卓越 ·构建全集团风险数据治理框架。随着 Plata 扩展到新国家时,设计并实施跨地理范围内的数据治理标准。定义可重复使用的风险数据基础设施模式,可以推广到新的市场。
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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: 20 days of annual leave and paid sick leave
Originally posted on Himalayas