Mid-Level, Senior

AI Governance Senior Associate

New York, United States, Plano · On-site

Use your analytical skills to help shape the responsible adoption and governance of artificial intelligence at a leading global financial services firm. Join the Strategic AI Governance and Enablement (SAIGE) team, turning data into actionable insights. The SAIGE team is dedicated to driving operational efficiency and advancing the firm's AI/ML objectives through governance workflows, monitoring, and reporting.

As an AI Governance Senior Associate on the Strategic AI Governance and Enablement Team, you will support the tracking of firmwide governance metrics, financial valuations, and strategic initiatives, leveraging KRIs, KPIs, dashboards and analyses. You will be part of a dynamic team partnering across functions to gather inputs, develop executive-ready materials, and move workstreams forward with clear ownership, milestones, and deliverables.

Job Responsibilities

Synthesize data from a number of different sources to ensure compliance with governance standards and frameworks.
Develop reporting, dashboards, and materials that support governance metrics and financial valuation reporting.
Convert data into actionable insights and leverage data visualization tools to effectively tell a story.
Partner with stakeholders to help identify opportunities to improve governance workflows and data inventories.
Manage projects with a strong project management mindset by clarifying ownership, stakeholders, milestones, dependencies, and deliverables.
Identify, propose and implement improvements to further automate reporting, governance processes and tools.
Extract and wrangle data from various sources using Excel, Alteryx, and/or SQL.
Stay current on the latest AI advancements, emerging governance practices, and integration technologies.

Required Qualifications, Capabilities, and Skills:

Bachelor’s degree in relevant field and 3 years of applicable experience in data governance, data management, data visualization, data analysis, strategy, or project management.
Strong Excel knowledge, including Pivot tables, Xlookups, and complex formulas.
Ability to develop advanced data visualization and presentations.
Capable of defining metrics, evaluating results, drawing conclusions and insights to design and recommend system or process improvements.
Strong analytical skills with a data-oriented mindset.
Working knowledge of AI/ML techniques, concepts, and lifecycle management, with willingness to learn and adapt to new challenges.
Driven, and eager to learn – someone who takes initiative rather than waiting for direction.

Preferred Qualifications, Capabilities, and Skills

Experience in the Financial Services industry.
Advanced analytics experience with preferred knowledge in one or more of these tools: Alteryx, SQL, Python, Power BI, and/or Tableau.
Experience with cross-functional collaboration, including influencing stakeholders and working with diverse teams.
Familiarity with industry regulations and standards impacting AI/ML technologies.
Detail-oriented, proactive, and comfortable managing competing priorities.
Curious about AI, emerging technologies, and how it impacts businesses and people.
Master’s degree in related field (e.g., Data Science, Analytics, Business, Public Policy, or related).

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