Data & Analytics Operations Manager - AI & Systems

About the role

The Data & Analytics Operations Manager is responsible for building and maintaining the internal operating infrastructure that enables the Data & Analytics team to focus on delivering value to the organization. This includes overseeing the standards and systems that make work management consistent across the team, building dashboards and reporting tools, and designing and building AI-powered workflows to automate repetitive tasks.

Responsibilities

• Own the standards and systems that make work management consistent across the Data & Analytics team - Jira hygiene, project tracking, delivery visibility
• Build the dashboards and reporting that give leaders visibility into overall system health and team throughput
• Own operational workstreams within DNA-wide initiatives - standing up processes, managing dependencies, and tracking delivery
• Build and maintain DNA's knowledge and context systems (Jira, Confluence, Slack) structured for both human and AI consumption
• Own and/or help facilitate DNA's core team rituals - DNA All Hands, DNA Labs (learning & development), and Data Demos, ensuring they stay relevant, well-structured, and connected to what the team needs
• Build and run onboarding and enablement infrastructure for new DNA team members
• Scale what works - turn high-impact patterns into shared standards, playbooks, and templates
• Design and build AI-powered workflows that eliminate repetitive operational work and free DNA teams to focus on higher-leverage work
• Own DNA's operational tooling ecosystem - continuously optimize, standardize, and drive adoption across teams (Jira, Confluence, Slack workflows, AI tools)
• Lead enablement and upskilling on ways of working within DNA
• Continuously ask: what work here requires human judgment, and what can be automated? Then act on the answer

Requirements

• 5+ years in data operations, program or project management, platform operations, or a related role with a track record of building systems and tooling, not just managing processes
• Deep fluency with AI as a core part of your workflow - you use Claude code or similar instinctively in your own work and know how to design systems that meaningfully leverage it
• Experience working with modern data stack tools (e.g. Tableau, Sigma, Snowflake, Atlan)
• Strong operational judgment applied internally - you approach operational problems with the same rigor as customer-facing ones, with a bias toward simple, scalable solutions
• High data fluency - able to define meaningful metrics, instrument systems, and translate insights into action
• Strong systems thinking - you can distinguish between process issues and structural problems, and know when to optimize vs. redesign
• Clear, direct communication - able to surface what's working and what isn't, and influence across teams, including senior leadership

Qualifications

• You're a builder who applies systems thinking to internal infrastructure. You're comfortable working across a diverse data organization and partnering with leadership to turn fragmented ways of working into scalable, durable systems.
• Nice to have:
• Experience building or scaling a data organization's operating system (e.g., delivery tracking, knowledge management, tooling, onboarding)
• Experience in a high-growth environment, ideally within a regulated domain (fintech, healthcare, HR tech)

Pay

The base wage range for this position based in our New York City Office is targeted at $131,000.00 - $169,000.00 per year.

Schedule

Hybrid