Coo Jobs

About The Position

Requirements

• At least 7 years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
• At least 7 years of experience in product, data, platform, technology strategy, analytics, or a related discipline.
• At least 7 years of experience leading enterprise transformation and delivering data, analytics, AI, cloud, or platform modernization initiatives.
• Ability to travel 5% of the time.
• Adherence to in-office attendance expectations.

Nice To Haves

• Strong knowledge of enterprise data management, governance, metadata, lineage, and cloud data ecosystems.
• Working knowledge of GenAI, agentic AI, LLMs, RAG, vector databases, knowledge graphs, semantic search, API-first architecture, and enterprise automation.
• Proven ability to evaluate technology tradeoffs, challenge architecture recommendations, and partner effectively with Architecture, Engineering, Product, and Data teams.
• Strong executive communication, analytical thinking, stakeholder management, and influence in matrixed organizations.
• Experience with process intelligence, process or task mining, workflow analytics, or operational excellence platforms.
• Experience with cloud data platforms such as GCP, BigQuery, Dataplex, Databricks, or Snowflake.
• Experience deploying or governing GenAI and AI observability capabilities in regulated environments.
• Knowledge of platform product management, Responsible AI, model risk, and enterprise automation platforms.
• Financial services experience or relevant product, project, data, process improvement, or cloud certification.

Responsibilities

• Advise leadership on Business Execution performance and initiatives, and develop information delivery or presentations for stakeholders and senior management.
• Lead strategies and resolutions for highly complex Business Execution challenges, delivering longer-term, large-scale solutions.
• Provide vision, direction, and expertise to senior leadership on large-scale, cross-organizational business solutions.
• Lead team meetings or steering committees to facilitate decisions and support implementation of recommendations and plans.
• Engage with professionals and managers across multiple lines of business and serve as an experienced advisor to leadership.
• Direct cross-functional teams using business expertise.
• Lead the strategy, roadmap, governance, operating model, and adoption of COO AI Product Data.
• Build scalable data onboarding, ingestion, transformation, retrieval, and consumption capabilities for GenAI, process intelligence, analytics, automation, and reporting.
• Partner with AI Engineering and Data Science to enable responsible, governed enterprise AI capabilities.
• Assess technologies and architecture patterns, including LLMs, RAG, agentic AI, vector databases, knowledge graphs, semantic search, observability, and orchestration.
• Establish data governance, metadata, lineage, observability, auditability, and platform controls.
• Define KPIs, scorecards, adoption measures, and executive value-realization reporting.
• Modernize automation portfolios from UI-based RPA toward API-driven and intelligent automation.
• Partner with Architecture, Engineering, Product, Data, and Cloud teams to challenge recommendations and influence future-state designs.
• Lead cross-functional execution, communicate investment decisions, and manage risks, dependencies, and stakeholder alignment.