Amalgamated Bank of NY

Position Function: The Data Governance Program Manager will lead the establishment of policies and standards for the Bank’s new risk management programs and support data analytics within the Risk Management department. Data Governance Model Risk Management Enterprise Risk Management The position will oversee the development, implementation, and maintenance of governance frameworks appropriate for the size and complexity of the Bank to ensure compliance with regulatory requirements and mitigate risks associated with data and model usage across the organization. This role involves managing a working group through plan implementation, collaborating with departments, providing subject matter expertise, and producing data-driven reporting to senior management. Performs all duties and interacts with internal and external customers in a manner that is expressly aligned with the Company's Core Values of approaching all actions with a “Voyaging Spirit” and being “Positively Ohana”. Exhibits core competencies that result in consistent delivery of positive Customer Interactions, Empowerment and Ownership and demonstrates key professional and performance skills such as Active Listening, effective Oral and Written Communication, Action and Solution Oriented and Thoroughness. Primary Accountabilities: Data Governance: * Design and develop a structured data governance framework informed by DAMA best practices that enable effective data-driven decision-making. * Communicate and implement data ownership, stewardship, and quality standards across multiple systems and business functions. * Collaborate with system owners and data owners to lead the integration of data governance controls across business units and enterprise platforms. * Collaborate with Emerging Technologies to design and transform enterprise analytics to ensure accuracy and alignment with business needs. * Monitor the data quality of critical data fields at the enterprise-level and produce actionable insights for management on data risk management. * Serve as a consultative resource to business units to support data literacy, management, and usage activities. Model Risk Management: * Serve as a consultative resource to model developers and model owners to support governance activities. * Collaborate with model owners to support the integration of model governance requirements into business unit processes. * Monitor the remediation of model risk findings and recommendations. Project Management and Collaboration: * Lead a working group through program development and implementation * Manage external contractors to ensure timely and effective completion program projects. * Develop strong relationships with key stakeholders across the organization. Enterprise Risk Management: * Support the administration of quarterly executive & board of director reporting. * Support the administration of the GRC application. * Support initiatives in other fields of risk management, as needed. Minimum Qualifications: Education: * Bachelor’s Degree from an accredited 4-year university in management information systems, data management, data analytics, finance, economics, or a related field required. Experience: * 6+ years of experience in Data governance, data management, data engineering, model risk management, or enterprise analytics required. * 2+ years of experience in Program development, or project management preferred. Physical Requirements & Working Conditions: * Must be able to perform light physical work and to move or lift items including but not limited to boxes, files and papers up to 20 pounds unless otherwise as indicated. * Must be able to operate and proficiently use standard office equipment, including phone, copier, personal computer and/or other work related mechanical or electronic devices and applications. * Must be able to clearly communicate verbally and in writing with all internal and external customers. Must also be able to hear sufficiently to engage in daily discussions and interactions. * Must be able to read and understand bank-related documents. * Must be able to work in a conventional office setting, involving sitting at a desk or workstation for long periods of time. Must also be able to adapt to different work environments as needed to perform the job. We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

DEPARTMENT: Data Insights and Innovation JOB TITLE: AI Governance & Explainability Engineer JOB CODE: AIGEE REPORTS TO: Data Governance Lead FLSA STATUS: Exempt EMPLOYMENT TYPE: Full-Time JOB PURPOSE: This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). The AI Governance & Explainability Engineer is a hands‑on technical role within the Data Governance team responsible for ensuring AI, GenAI, and Agentic AI solutions are explainable, governable, auditable, and production‑ready. This role embeds governance directly into the AI technology stack, translating policies, regulatory expectations, and risk requirements into technical controls, automated checks, standardized artifacts, and release gates across the AI lifecycle. The role combines AI/ML engineering depth, GenAI & Agentic AI design knowledge, and governance discipline to ensure AI solutions deliver explainability, can be trusted, defended, and audited in production, particularly within the Microsoft Fabric and Purview ecosystem. DEPARTMENTAL EXPECTATION OF EMPLOYEE Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model * Acts as a role model within and outside AF. * Performs duties as workload necessitates. * Maintains a positive and respectful attitude. * Communicates regularly with the departmental leader about department issues. * Demonstrates flexible and efficient time management and ability to prioritize workload. * Consistently reports to work on time, prepared to perform duties of the position. * Meets Department productivity standards. ESSENTIAL DUTIES AND RESPONSIBILITIES * AI Governance by Design Engineering (Execution Focus not Policy writing) * Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflows * Translate enterprise AI policies, standards, and Responsible AI principles into: * Technical guardrails * Automated checks * Required evidence artifacts * CI/CD release gates * Implement governance as code and automation, eliminating reliance on manual or after-the-fact reviews. * AI Governance, Explainability & Human Oversight * Advise solution teams on explainability requirements for automated, semi-automated, and decision-support AI systems. * Ensure human-in-the-loop (HITL) controls are implemented where required by risk level or use case. * Define, generate, and manage explainability outputs that are: * Appropriate to the end-user or reviewer persona * Aligned to the decision context and operational use * Document explainability assumptions, limitations, and residual risk as governance evidence. * Metadata, Lineage & Governance Evidence Management * Operationalize AI Governance in Microsoft Purview by registering and maintaining: * AI models, features, prompts, agents, notebooks, and pipelines * Maintain end to end lineage across: * Data → features → models → inferences → outputs * Apply ownership, stewardship, sensitivity, and classification metadata. * Ensure governance is maintained: * Discoverable * Versioned * Traceable * Audit-defensible * GenAI & Agentic AI Governance Enablement * Apply governance patterns to LLMs, RAG, and Agentic AI solutions * Ensure governance traceability when synthetic data or augmented data is used for training, testing, or evaluation. * Implement Agentic AI lifecycle governance, including: * Observability of agent actions, deviations, and failures * Oversight of planning, reflection, and tool-use behavior * Controls on autonomous vs. constrained operation * Enable GenAI explainability, including: * Retrieval transparency for RAG (sources, relevance) * Inference context documentation * Decision trace generation where applicable * Explainability, Interpretability & Model Risk Controls * Own and operate explainability capabilities used for governance, audit, and trust. * Implement and operationalize techniques such as: * Feature attribution (e.g., SHAP or equivalent) * Driver and proxy detection * Global and local model explanations * Identify bias signals, risk indicators, and explainability gaps. * Store and manage explainability and observability outputs as governed, audit-ready artifacts. * Support audit, compliance, and risk review activities with defensible evidence. * Monitoring, Observability & Incident Readiness * Define and implement AI monitoring metrics, alerts, and thresholds for: * Performance degradation * Bias and ethical risk indicators * Drift and instability * Partner with MLOps and platform teams to integrate monitoring into production pipelines. * Support AI incident response and post-incident reviews with governance evidence. * Ensure all observability outputs are retained, traceable, and audit‑ready. * Governance Checkpoints & Release Gating * Define and enforce governance checkpoints within CI/CD pipelines (DEV-> TEST/UAT -> PROD). * Implement automated release checks for: * Required documentation and evidence artifacts * Explainability artifacts * Monitoring configuration * Data usage, lineage completeness, and medallion-layer alignment * Partner with Engineering and MLOps teams on promotion decisions while owning governance readiness, not platform approval. QUALIFICATIONS Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. * Minimum 7 years of experience in AI/ML engineering, data science, GenAI/LLMs, NLP, Agentic AI, data governance, or related roles. * Demonstrated experience operationalizing AI governance, explainability, and risk controls in production environments. * Deep understanding of Agentic AI architectures and lifecycle considerations. Technical Skills * Strong proficiency in Python with hands‑on experience in AI/ML engineering workflows. * Working knowledge of Microsoft Fabric (Lakehouse, OneLake, notebooks, pipelines). * Experience with Microsoft Purview (catalog, lineage, classification, ownership). Experience with AI/ML and GenAI tooling, including: * Azure AI Foundry / Azure ML * ML explainability libraries (e.g., SHAP) * LLMs, RAG architecture, and prompt engineering * Familiarity with Agentic AI frameworks and patterns (e.g., tool use, planning, reflection). * Experience integrating governance controls into CI/CD pipelines using GitHub or Azure DevOps. * Understanding of cloud platforms (Azure preferred; AWS/GCP a plus * Experience producing audit‑ready technical documentation and evidence artifacts. * Familiarity with reporting and visualization tools (e.g., Power BI) for governance and monitoring views. Soft Skills * Strong analytical and problem‑solving abilities, particularly in risk‑based decision‑making. * Excellent written and verbal communication skills, with the ability to translate technical details into governance‑relevant insights. * Ability to lead governance execution initiatives and influence cross‑functional teams without direct authority. * Strong organizational skills with attention to detail and audit readiness. * Auto insurance or claims industry experience preferred. Preferred Qualifications * Experience evaluating or governing model training approaches (e.g., NLP, generative models) without owning full training pipelines. * Familiarity with synthetic data governance (generation methods, limitations, risk documentation). * Experience with additional AI platforms (Databricks AI, Snowflake Cortex, Dataiku). * Experience in regulated industries (insurance, financial services, healthcare). AMERICANS WITH DISABILITY SPECIFICATIONS PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch, or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. WORK ENVIRONMENT [Standard language tied to each job description] This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

* This position is eligible for a $500 ZelTech Non-Employee Referral fee. Contact ZelTech Recruiters [[email protected]] for questions concerning this matter. * Join Our Talent Community to Stay Connected! *This position is contingent upon contract award* Work Location: Virginia Beach, VA (Onsite or Hybrid depending on department policy). Job Summary: The City of Virginia Beach is seeking a highly analytical and principled AI Policy Analyst to guide the city’s responsible adoption of artificial intelligence technologies. This role will develop and enforce policies, governance frameworks, ethical guidelines, and compliance standards to ensure AI systems are transparent, fair, secure, and aligned with public‑sector values. The ideal candidate has a strong understanding of AI ethics, risk management, regulatory trends, and public‑sector accountability. This position plays a critical role in safeguarding residents’ rights, promoting trustworthy AI, and ensuring the city’s AI initiatives meet legal, ethical, and operational standards. Responsibilities: AI Governance & Policy Development * Develop and maintain citywide AI governance frameworks, policies, and standards. * Establish guidelines for responsible AI use, including transparency, accountability, fairness, and human oversight. * Draft policies addressing data use, model lifecycle management, algorithmic risk, and AI procurement requirements. * Evaluate AI proposals and projects for alignment with city governance principles. AI Ethics & Responsible Use * Conduct ethical impact assessments for AI systems, including bias evaluation, fairness analysis, and risk mitigation. * Ensure AI applications uphold public‑sector values such as equity, accessibility, and non‑discrimination. * Promote ethical design practices, including explainability, human‑in‑the‑loop controls, and community‑centered considerations. * Provide guidance on emerging ethical concerns such as generative AI, automated decision‑making, and surveillance technologies. Compliance, Risk & Regulatory Alignment * Monitor federal, state, and local regulations related to AI, data privacy, cybersecurity, and algorithmic accountability. * Ensure city AI systems comply with applicable laws, standards, and best practices. * Conduct risk assessments and develop mitigation strategies for AI‑related operational, legal, and ethical risks. * Maintain documentation for auditability, transparency, and public reporting. Stakeholder Engagement & Training * Collaborate with city departments, legal teams, IT staff, and community stakeholders to ensure responsible AI adoption. * Provide training and guidance on AI governance, ethics, and compliance requirements. * Support public transparency initiatives, including communication materials and community engagement efforts. * Serve as a subject‑matter expert on responsible AI practices. Requirements: * Must be a US citizen. * Bachelor’s degree in Public Policy, Law, Ethics, Computer Science, Data Science, Information Systems, or related field; OR 6 or more years of relevant experience in lieu of a degree. * 3–5+ years of experience in policy analysis, compliance, governance, or AI/technology‑related fields. * Strong understanding of AI ethics, algorithmic accountability, and responsible AI frameworks. * Familiarity with data governance, privacy standards, and risk management practices. * Excellent analytical, writing, and communication skills. * Ability to translate complex technical concepts into clear policy guidance for non‑technical audiences. * Successful background and drug screening check. Preferred Requirements: * Experience working in local government, public administration, or public‑sector compliance. * Knowledge of municipal operations, public‑service workflows, or government data systems. * Experience with AI/ML concepts, data analysis, or technology policy development. * Certifications in AI ethics, data governance, compliance, or risk management. * Familiarity with NIST AI Risk Management Framework, federal AI guidance, or state‑level AI legislation. Core Competencies * Ethical Judgment & Integrity * Policy Analysis & Governance * Risk Assessment & Compliance * Communication & Stakeholder Engagement * Analytical and Critical Thinking * Public‑Service Orientation & Accountability Physical Demands or Work Environment: The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * The majority of the time is spent in an office setting. * Occasionally lift and/or move up to 25 pounds. * Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus. About ZelTech: Founded in 1988 by Ret. Col. Jack L. Ezzell Jr., Zel Technologies is a trusted leader in national security, providing comprehensive research, development, engineering, and operational support to the Department of Defense, the Intelligence Community, and federal agencies. Originally focused on leveraging operational and software expertise to improve time-critical targeting capabilities for the military, the company advanced its capabilities to provide scientific and HUMINT expertise for CBRNE collection and analysis. In the wake of 9/11, Zel Technologies rapidly expanded its capabilities to provide turnkey ISR support services to US Special Operations Forces (SOF), as well as advanced technical & operational intelligence, physical & data science, and engineering support services to the greater Intelligence and SOF Communities supporting global counterterrorism and CWMD operations. Today, Zel Technologies remains at the forefront of intelligence missions, advancing CWMD and global counterterrorism efforts, while also addressing emerging threats posed by near-peer adversaries. Our team remains committed to delivering adaptive, innovative, and cost-effective solutions across multiple domains, in alignment with the mission priorities of the U.S. Government and its partner nations. Our Mission: Through our commitment to innovation and quality, our skilled teams deliver robust, technology driven solutions and insights that empower our customers to overcome complex challenges and achieve their mission objectives. Our Workforce: ZelTech team members represent a wide range of backgrounds, skills, experience, and personalities bound together by common objectives and mutual respect. You will join a caring community of professionals, including many military veterans [https://www.zeltech.com/veterans/] who challenge and support each other in seeking the right solutions to important matters. Benefits: * Medical, Dental and Vision Insurance * 401k immediate vesting with company match * Flexible Spending Accounts * Health Savings Account with company contributions * Employee Assistance Program (EAP) * Bonuses for performance * Voluntary life/accidental death & dismemberment * Educational assistance and special training programs * Voluntary benefits (accidental, critical illness, whole life) * Group life insurance (Company paid) * Short-term and Long-term Disability Insurance (Company paid) * Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave * Health and fitness reimbursement * Referral bonuses * Employee discounts on various services and products Equal Opportunities: ZelTech is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

POSITION SUMMARY This role resides within the Bank’s Enterprise Risk Management function and serves as part of the second line of defense. The Vice President of Model Risk Management (MRM) is responsible for overseeing the Bank’s Model Risk Management Program, ensuring that model risk is identified, assessed, monitored, and controlled across the full model lifecycle in accordance with internal policy and regulatory guidance. The role provides independent oversight and effective challenge to the first line of defense and supports senior management and the Board through strong model risk governance and reporting. KEY RESPONSIBILITIES • Maintain and enhance the Model Risk Management framework, policies, procedures, and standards. • Oversee the model inventory, including model identification, tiering, materiality, and lifecycle status. • Provide independent challenge of model development, implementation, assumptions, limitations, and intended use. • Review model documentation, validation results, and ongoing monitoring to assess fit-for-use. • Oversee model validation scope, frequency, and remediation of findings. • Develop model risk metrics, KRIs, and reporting for senior management and the Board. • Serve as a primary point of contact for regulators and internal audit on model risk matters. REQUIRED QUALIFICATIONS • Bachelor’s degree in a quantitative discipline (e.g., mathematics, statistics, economics, finance, engineering) or equivalent experience. • 5+ years of experience in Model Risk Management, quantitative risk, or model validation within financial services. • Quantitative background with the ability to understand and challenge statistical, econometric, or financial models. • Demonstrated experience providing independent challenge in a second line of defense role. • Strong written and verbal communication skills, including the ability to explain complex quantitative concepts. PREFERRED QUALIFICATIONS • Experience with GRC platforms and model inventory or validation tools. • Familiarity with a broad range of model types (credit, capital, stress testing, liquidity, AML/fraud). • Professional certifications such as FRM, PRM, or CFA. Our job titles may span more than one career level. The starting base salary for this role is between $120,000 – $140,000. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. [https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf] AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement [https://www.amalgamatedbank.com/sites/default/files/pay-transparency.pdf]. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”. Search Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.