Role Description The Network Governance Manager - Remote is responsible for establishing, owning, and scaling the governance framework that enables the S3 Network to operate safely and sustainably as it grows to 100,000+ merchants, including a large population of independent and long tail merchants. This role serves as the primary First Line of Defense (1LOD) owner for network wide controls, standards, and processes across: - Merchant onboarding - Third party enablement - Funds settlement - Fraud prevention - Compliance adherence The position operates at the intersection of Merchant Operations, Compliance, Legal, Fraud, Product, Data, and third party partners to translate regulatory requirements into scalable, executable operating models. AI and automation are core enablers of this role: - Identify, prioritize, and institutionalize AI assisted monitoring and workflow automation. - Reduce manual effort, improve consistency, and strengthen auditability at scale—while ensuring appropriate human oversight and governance. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Qualifications - 12+ years of experience in network operations, governance, risk management, compliance, or regulated environments. - 10+ years of experience reviewing, investigating, and clearing compliance screening alerts (e.g., Know Your Customer, Sanctions). - 7+ years of demonstrated experience identifying and operationalizing automation or AI driven workflows. - Proven solid analytical and systems thinking skills. - Proven excellent written and verbal communication skills, including executive level reporting. - Ability to travel 10 – 20% for stakeholder meetings and governance reviews. - Driver’s License and access to reliable transportation. Requirements - Own the network governance framework, including policies, standards, documentation, and operating procedures. - Serve as 1LOD owner for network compliance controls across AML/KYC/sanctions, fraud prevention, merchant onboarding & oversight, and funds settlement. - Ensure governance models scale effectively with increased merchant volume and long tail onboarding. - Serve as the Network’s AI Agent Champion, accountable for identifying, prioritizing, and sponsoring AI agent use cases across Network Operations and Governance. - Define how AI agents are used to automate manual, governance heavy workflows. - Ensure AI agents are deployed with clear purpose, ownership, success metrics, and documented workflows. - Promote adoption of AI agents across the team through enablement, change management, and best practice sharing. - Define and implement AI assisted monitoring for network risk signals. - Sponsor and prioritize automation for governance-heavy workflows. - Partner with Product/Data/Engineering to ensure AI outputs are explainable, auditable, and operationally usable. - Partner closely with Compliance (2LOD) to address audit findings, risk inventories, and remediation actions. - Implement required compliance policies, standards and processes. - Coordinate network responses to compliance issues. - Proactively identify emerging risks tied to growth, automation, or third party enablement models. - Define and enforce governance standards for merchant onboarding, activation, monitoring, and offboarding. - Oversee governance for unsettled funds processes. - Drive execution across Merchant, Operations, Fraud, Product, Technology, Legal, and Risk without direct authority. - Build and maintain governance artifacts, SOPs, control documentation, and audit ready materials. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements).

• Act as subject matter expert and lead on the most complex contracting and relationship processes for major federal and high-value clients, including the Administrative Office of the Courts, Department of Justice, IRS/Treasury, Department of Homeland Security, and New York Courts. • Contribute to the success of an assigned book of business by driving client satisfaction, retention, and long-term account growth. • Develop and implement strategies to ensure compliance with federal regulations and customer requirements. • Collaborate with cross-functional teams to align contracting strategies (cooperative agreements, MSAs). • Work cross functionally with the procurement team to advise on their overall process and strategic deals. • Communicate with General Counsel and cross-functional teams on AI requirements as they continue to evolve.

• Serve as a senior technical authority and thought leader on HMIS architecture, HUD data and reporting standards, privacy and security requirements, and system interoperability. • Shape and influence organizational and client strategies related to data systems, performance measurement, and data use across homelessness response systems. • Lead the design of scalable, reusable data solutions that support federal reporting (e.g., LSA, SPMs, APRs, PIT/HIC) while enabling advanced analytics and local innovation. • Provide consultative leadership to clients, funders, and senior stakeholders on complex HMIS and data-system challenges, influencing decisions in sensitive or high-impact contexts. • Interpret, operationalize, and advise on HUD HMIS Data Standards, CSV/XML specifications, federal reporting logic, data quality frameworks, and comparable database requirements. • Design validation rules, data quality automation, and compliance monitoring processes that improve completeness, accuracy, timeliness, and consistency of HMIS data. • Guide governance structures and policies related to data sharing, privacy, security, consent, and ethical data use. • Mentor HMIS Leads, System Administrators, and data teams on advanced implementation practices and emerging standards. • Lead development of custom data pipelines, integrations, and automation using programming and scripting languages (e.g., SQL, Python, R, JavaScript) to streamline reporting and analysis. • Design and implement data transformations, APIs, and automated workflows for HMIS exports/imports, cross-system data exchange, and real-time dashboards. • Apply advanced analytical methods—including disaggregated equity analysis, longitudinal analysis, and system modeling—to inform policy, funding, and performance decisions.

• Lead and develop a high-performing Workforce Optimization team, including performance management, coaching, and succession planning. • Define and execute enterprise workforce strategies, including labor planning, forecasting, and capacity optimization across multiple locations. • Oversee and evolve workforce modeling methodologies, ensuring accuracy, scalability, and alignment to business needs. • Drive data-driven decision making by synthesizing trends, performance metrics, and financial data into actionable insights for executive leadership. • Partner cross-functionally with Operations, Finance, Revenue Management, and Continuous Improvement to align workforce strategies with enterprise priorities. • Establish and monitor labor performance frameworks, including productivity, cost management, and workforce KPIs. • Lead workforce planning support across multiple FBO locations, including hiring strategies, scheduling optimization, and labor cost management. • Identify and remove operational barriers while driving innovation, automation, and continuous improvement within workforce processes. • Deliver executive-level presentations and strategic recommendations, clearly communicating workforce insights and business implications. • Influence senior stakeholders and lead complex organizational change initiatives related to workforce optimization and labor strategy.