Senior Data Manager

AUX Partners has an exclusive relationship with an industry leading company that is searching for an experienced Data/AI Manager. This would be a full-time position with a great starting salary, fully paid benefits, and both yearly and long-term bonus potential. This successful candidate would also have the ability to help shape and guide the organization within this vertical and help contribute to their long-term growth.

About the Role

Assists in monitoring the AI and data tools market to evaluate the opportunity set for the continued evolution of those tools, which could include a migration to alternative platforms. Works primarily by directing AI coding tools and validating what they produce, and partners with departments, leadership and the IT team to identify and deliver AI-enabled improvements. Level (Senior Manager or Director) is determined at hire based on experience. This role will also support additional IT functions, when necessary.

Responsibilities

Primary Accountabilities

• Design and maintain the architecture and development of AI currently delivered on AWS through Bedrock, keeping the company's data, documents and information connected and usable as AI models and tools evolve. Assist in monitoring the AI tools market to evaluate opportunities for the continued evolution of those tools, which could include a migration to alternative platforms.
• Build and maintain platform infrastructure and integrations, primarily by directing AI coding tools (Claude Code, Cursor, Codex or equivalents) and validating what they produce, following documented review and deployment practices.
• Connect the platform to existing and new business systems, including SharePoint, Office 365 and iManage, while respecting existing access controls and maintaining that access as systems change.
• Assist in architecting a new database platform (Snowflake or similar), working with data owners to establish the API and MCP connections that make the organization's data available to the AI platform.
• Implement and maintain platform security, reliability and cost control within the company's security program, engaging existing penetration testing, cloud security and other outside specialists as needed.
• Engage with departmental leadership and the IT team to identify where AI can improve processes and deliverables, help deliver the resulting solutions, and provide training and guidance on the effective use of AI tools.
• Maintain platform documentation and runbooks so that platform knowledge is shared with the Vice President - Information Systems, and support annual IT SOX control testing for platforms within this role's scope, in coordination with the Senior Director - Information Systems.

Qualifications

Education

• Bachelor's degree or equivalent experience or IT certifications in information technology, computer science or related field.

Professional

• 5+ years (Senior Manager) or 8+ years (Director) of experience in cloud engineering, solutions or platform architecture, systems integration, or a similar role working with cloud-hosted applications and data.
• Working experience with AWS or a comparable cloud platform, and an understanding of cloud service models (IaaS, PaaS, SaaS). AWS Bedrock experience or AWS certification preferred.
• General understanding of cybersecurity principles, including identity and access management. CompTIA Security+ or similar certification preferred.
• General understanding of how APIs and MCP (Model Context Protocol) connections are built and secured.
• Working knowledge of database systems and document management systems. Exposure to Snowflake or a similar data platform preferred.
• Demonstrated experience directing AI-assisted development tools and validating their output, with an understanding of how AI models behave and where they fail. AI engineering or model training experience is not required.
• Sound judgment on when to engage outside specialists.
• Innovative problem solver with a demonstrated high level of skill in communication (verbal and written) and in building relationships internally and externally.

Required Skills

• Experience in cloud engineering, solutions or platform architecture, systems integration, or a similar role working with cloud-hosted applications and data.
• Working experience with AWS or a comparable cloud platform, and an understanding of cloud service models (IaaS, PaaS, SaaS).
• General understanding of cybersecurity principles, including identity and access management.
• General understanding of how APIs and MCP (Model Context Protocol) connections are built and secured.
• Working knowledge of database systems and document management systems.
• Demonstrated experience directing AI-assisted development tools and validating their output, with an understanding of how AI models behave and where they fail.
• Innovative problem solving and strong communication (verbal and written) and relationship-building skills.