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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Access Manager - **Company:** American International Group, Inc. - **Location:** Farmington, CT, United States - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Database, Cyber Security, Information Systems, Data Governance, Data Security, Data Warehousing, Relational Databases, Identity and Access Management, Data Intelligence, Python (Programming Language), Metadata, Meta-Data Management, Role-Based Access Control, Standard Sql, Tokenization, Data Classification, Snowflake, Informatica Cloud, Microsoft Fabric, Information Technology, Data Analytics, Data Management, Marketplace, Amazon Redshift, Databricks - **Published:** June 13, 2026 - **Apply:** https://aig.wd1.myworkdayjobs.com/aig/job/CT-Farmington/Data-Access-Manager_JR2601961 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Information Security, Data Analytics, or a related field. * 8-10 years of experience in data governance, data management, data privacy, IAM, or a related data/analytics function (internships and co-ops count). * Working knowledge of SQL and relational data warehouse concepts. * Familiarity with data governance fundamentals: data classification, lineage, metadata management, and role-based access control (RBAC) / attribute-based access control (ABAC). * Strong written and verbal communication skills, with the ability to translate between policy language and technical implementation. * Detail-oriented, organized, and comfortable working across multiple stakeholder groups., * Hands-on exposure to Informatica IDMC, CDAM, CDGC, Cloud Data Marketplace, or the legacy Privitar platform. * Experience with cloud data warehouses such as Snowflake, Databricks, Redshift, BigQuery, or Microsoft Fabric. * Understanding of data privacy regulations (GDPR, CCPA, HIPAA) and security frameworks. * Familiarity with masking and de-identification techniques (tokenization, hashing, k-anonymity, differential privacy concepts). * Coursework or certifications such as CDMP, CIPP/CIPT, or Informatica IDMC credentials. * Exposure to Python or scripting for automation and reporting. ## Description We are seeking a Data Access Manager to advance our data access controls strategy to enable a more automated, and metadata driven control framework., We are seeking a Data Access Manager to join our Data Governance team and play a hands-on role in operationalizing data access controls across our global data warehouse. In this role, you will be responsible for the implementation, configuration, and ongoing management of data access policies and related metadata within Informatica Cloud Data Access Management (CDAM), part of the Informatica Intelligent Data Management Cloud (IDMC) platform. You will partner closely with our Data Governance, Privacy, and Information Security Office (ISO) teams to translate enterprise policies into codified, enforceable access controls, and work with IT, DBA, and platform engineering teams to ensure those controls are correctly deployed and monitored., Policy Implementation & Administration * Configure, deploy, and maintain data access policies, rules, and related metadata in Informatica CDAM, including access control policies, masking, tokenization, encryption, hashing, and other privacy-preserving transformations (e.g., generalization, substitution, k-anonymity). * Work with Data Governance, Privacy, and ISO stakeholders to codify written policies into logical, metadata-driven CDAM rules that can be consistently enforced across the global data warehouse. * Maintain accurate classifications, tags, and policy bindings, leveraging Informatica's CLAIRE AI engine and Cloud Data Governance & Catalog (CDGC) outputs to keep sensitive data identification (PII, financial, health, etc.) current. * Technical Oversight & Stakeholder Collaboration * Coordinate with IT, DBA, and platform teams to oversee the technical implementation of CDAM capabilities, including policy pushdown to underlying data platforms * Support troubleshooting of access issues, policy conflicts, and connector configuration in partnership with engineering teams. * * Serve as a day-to-day point of contact for access-related questions from data stewards, data owners, and consumers. Reporting, Evidence & Compliance * Produce regular reports and audit evidence demonstrating policy coverage, enforcement, and exceptions to support internal audits, regulatory requirements (e.g., GDPR, CCPA, SOX), and ISO/Privacy reviews. * Monitor CDAM logs and dashboards to identify gaps, anomalies, or opportunities for control improvement. * Maintain documentation of policies, procedures, and operational runbooks. Automation & Marketplace Integration * Help define and implement more advanced and automated access orchestration patterns, including integration with Informatica Cloud Data Marketplace (CDMP) to enable governed self-service "shop-for-data" experiences. * Contribute to the roadmap for expanding policy pushdown coverage, automating provisioning workflows, and reducing manual access request handling. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)