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Who We Are:Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.Our Team Members:We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.Your Role:As Lead, Data Governance, you will help build and run Alpaca's data governance and data security program across our lakehouse, analytics tools, and internal data products. You'll set the standards for how we classify data, who can access it, and how we protect it, working closely with Data Engineering and Data Science to put those standards into practice.Our data environment has grown quickly. We run several data solutions, and we handle more cross-region data every year across the US, Japan, EU, and other markets. We are also evaluating new analytics and AI tools on a regular basis. Access controls have not always kept pace, and we need someone who can help us catch up and stay ahead of partner and regulatory expectations.The team is fully remote. This is an individual contributor role with no direct reports. You'll report to our Chief Information & Security Officer (CISO) and work closely with Data Engineering and Data Science through a dotted-line relationship.Things You Get To DoBuild and maintain our data governance policies, classification standards, ownership model, and exception process, in line with Security and Privacy requirementsOwn data access governance for the lakehouse and analytics stack, including entitlement standards, periodic access reviews, and least-privilege access across Trino, Ranger, Cube, Metabase, and related toolsWork with Data Engineering on the technical side of controls such as Ranger policies, schema restrictions, and service account managementSet data quality standards and help Data teams track and improve against themKeep our data inventory, metadata, and lineage documentation current for compliance and audit purposesReview data-related vendors and new use cases (analytics platforms, reverse ETL, AI query tools, notebooks, and similar) with Security, Privacy, and LegalSupport sensitive and cross-border data requests, including PII handling and regional data flows for Engineering, Operations, and New MarketsPrepare evidence for SOC 2, ISO 27001, CSA STAR, partner security reviews, and regulatory examsTrack data risks and control gaps as part of our Enterprise Risk Management (ERM) programBe the go-to governance partner for Data and Security on access, classification, and tooling questionsHelp define guardrails as we expand AI and agentic use of corporate data in analytics workflowsWho You Are (Must-Haves)5+ years in data governance, data security, GRC, privacy engineering, or a related fieldAt least 2 years working with modern data platforms (lakehouse/warehouse, SQL engines, BI, semantic layers)Solid grasp of data governance frameworks (DAMA-DMBOK, NIST, or similar) and how to apply them in a company that moves quicklyYou've built or run data classification, access control, or entitlement review programs, not just written the policiesFamiliar with cloud data platforms (GCP a plus) and typical analytics toolingWorking knowledge of privacy and regulatory requirements in financial services (GDPR, CCPA, cross-border transfers, and similar)Experience supporting SOC 2, ISO 27001, or similar auditsYou work well with engineering teams and know how to push for good controls without becoming a bottleneckStrong written and verbal communication skillsOrganized, detail-oriented, and comfortable in a fast-paced remote environmentComfortable as an IC with no direct reportsWho You Might Be (Nice-to-Haves)Fintech, brokerage, or regulated financial services backgroundHands-on experience with Trino, Apache Ranger, dbt, Cube, Metabase, Airflow, or IcebergExperience reviewing AI/ML and analytics toolsPrivacy program or vendor/DPA review experienceCIPT, CIPM, CISM, CISSP, CDMP, CRISC, or similar certificationsYou've been the first governance hire at a growing company beforeExperience with Japan or EU data residency and cross-border data issuesExposure to ERM or operational riskRemote or distributed team experienceHow We Take Care of You:Competitive Salary & Stock OptionsHealth BenefitsNew Hire Home-Office Setup: One-time USD $500Monthly Stipend: USD $150 per month via a Brex CardAlpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.Recruitment Privacy Policy
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