The Data and AI Governance Manager is responsible for designing, embedding, and continuously maturing the enterprise-wide framework that governs how data and AI are sourced, managed, protected and deployed across the organization.
The role ensures the organization's practices align with industry standards including DCAM, NIST AI RMF and ISO 42001, while proactively managing emerging AI and data risks.
The manager works in close relationships with Data & AI engineering, Risk & Compliance, Legal and Business Units to translate policies into operational practices and embed a culture of responsible data and AI use.
U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac. They are a market leader that combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.
Define and execute the strategy for end-to-end data lifecycle management.
Lead the stitching of disparate data sources to create a high-fidelity, 360-degree view of a user’s debt history.
Build and maintain the Feature Store and semantic layer required for possible AI features.
Summer is a Certified B Corp® committed to restoring financial freedom for Americans burdened by student debt. They combine policy expertise and technology to simplify college cost planning and loan repayment, partnering with employers, cities, and financial institutions.
Apply statistical analysis and experimentation to drive customer growth.
Develop, clean and analyze datasets using tools like SQL, Python or R to generate actionable insights.
Ensure data quality, integrity, and consistency through data validation.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They are a team that encourages growth, fun, and collaboration, embracing diverse perspectives to serve all customers.
Lead, mentor, and grow a team of analysts at multiple career levels.
Define the technical roadmap for data transformations and the analytics layer.
Partner with Product and Engineering to support enterprise partner integrations.
Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. They build the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. According to the text, Bestow is backed by leading investors and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart.
Develop and execute a long-term data governance strategy aligning with Moniepoint's mission.
Author and maintain global policies that are clear and actionable.
Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
Moniepoint Inc. aims to provide financial happiness by empowering businesses, employees, and customers. They have grown to 1500 employees and process over $100 billion annually through their digital financial services platform, fostering a culture of innovation and teamwork.
Collaborate with AI tools to generate actionable business insights that support strategic and operational decision-making
Review, validate, and continuously improve the context and inputs provided to analytics AI systems to enhance output quality and relevance
Support the organization's transition to an AI-native ELT (Extract, Load, Transform) pipeline by evaluating, implementing, and documenting emerging data engineering technologies
Expressable is a virtual speech therapy practice on a mission to transform care delivery and expand access to high-quality services. They have served thousands of clients since their inception in late 2019 and are passionate advocates of parent-focused intervention.
Design and build AI-powered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes.
Design systems that securely handle sensitive employee data using anonymization, aggregation, and robust access controls.
Partner closely with Data Engineering and teams across People, IT, Security and Privacy, Finance, and GTM Operations to align data architecture and AI capabilities.
Grafana Labs is a remote-first, open-source powerhouse with more than 20M users of Grafana. They help more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack. Their team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything they do.
Translate feedback from customers and Product into a roadmap for improving data coverage and accuracy.
Drive initiatives to resolve gaps in key company attributes using traditional and AI-derived sources.
Define the firmographic data product roadmap for company entity resolution and enrichment.
Findem is a fast-growth startup with an ambitious vision to revolutionize HR with its People Intelligence platform that uses AI and machine learning. They are backed by top-tier investors including Wing Venture Capital and power businesses across scaling, pre-IPO, and publicly traded companies.