Lead, Data Governance

Job not on LinkedIn

🔥 15 minutes ago

🏈 North America – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Logo of Alpaca

Alpaca

201 - 500 employees

🔌 API

💳 Fintech

₿ Crypto

API • Fintech • Crypto

Alpaca is a fintech company that provides a comprehensive brokerage and trading platform through a suite of APIs. These APIs enable developers and businesses to integrate algorithmic trading, app development, and embedded investing into their services. Alpaca offers services like trading in US stocks, ETFs, and cryptocurrency with options for local currency transactions. The company is recognized for its cyber security practices and is a member of FINRA and SIPC. Alpaca is ideal for fintech startups, broker-dealers, hedge funds, and other financial services looking to build sophisticated trading applications and platforms with minimal friction through their well-documented Broker API.

📋 Description

• Build and maintain data governance policies, classification standards, ownership model, and exception process • Own data access governance for the lakehouse and analytics stack, including entitlement standards, periodic access reviews, and least-privilege access • Work with Data Engineering on Ranger policies, schema restrictions, and service account management • Set data quality standards and help Data teams track and improve against them • Maintain data inventory, metadata, and lineage documentation for compliance and audit purposes • Review data-related vendors and new analytics, reverse ETL, AI, notebook, and similar use cases with Security, Privacy, and Legal • Support sensitive and cross-border data requests, including PII handling and regional data flows • Prepare evidence for SOC 2, ISO 27001, CSA STAR, partner security reviews, and regulatory exams • Track data risks and control gaps as part of the Enterprise Risk Management program • Serve as the governance partner for Data and Security on access, classification, and tooling questions • Help define guardrails for AI and agentic use of corporate data in analytics workflows

🎯 Requirements

• 5+ years in data governance, data security, GRC, privacy engineering, or a related field • At least 2 years working with modern data platforms, including lakehouse/warehouse, SQL engines, BI, and semantic layers • Solid grasp of data governance frameworks such as DAMA-DMBOK and NIST • Experience building or running data classification, access control, or entitlement review programs • Familiarity with cloud data platforms; GCP is a plus • Working knowledge of GDPR, CCPA, cross-border transfers, and related financial-services privacy and regulatory requirements • Experience supporting SOC 2, ISO 27001, or similar audits • Ability to work effectively with engineering teams and implement appropriate controls • Strong written and verbal communication skills • Organized, detail-oriented, and comfortable in a fast-paced remote environment • Comfortable working as an individual contributor with no direct reports • Fintech, brokerage, or regulated financial services background is a nice-to-have • Hands-on experience with Trino, Apache Ranger, dbt, Cube, Metabase, Airflow, or Iceberg is a nice-to-have • Experience reviewing AI/ML and analytics tools is a nice-to-have • Privacy program or vendor/DPA review experience is a nice-to-have • CIPT, CIPM, CISM, CISSP, CDMP, CRISC, or similar certifications are nice-to-haves • Experience with Japan or EU data residency and cross-border data issues is a nice-to-have • Exposure to ERM or operational risk is a nice-to-have

🏖️ Benefits

• Competitive Salary & Stock Options • Health Benefits • New Hire Home-Office Setup: One-time USD $500 • Monthly Stipend: USD $150 per month via a Brex Card

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