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Operations AI Lead

Operations AI Lead

Axelon Services CorporationNew York, NY, US
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Global Financial Firm located in New York, NY has an immediate contract opportunity for an experienced Operations AI Lead

"This role is currently on a Hybrid Schedule.

You will need to have reliable internet, computer and android or iphone for remote access into the client systems during remote work.

We will be expected in the office weekly 3 days depending on the team requirement.

  • Video / f2f interviews are required prior to all offers.

Pay rate range : $ 99.00 - $ 102.00 Negotiable based upon years of experience

About the Organization

Client Data and Regulatory Operations Group is a global team operating in over 20 countries, providing essential support to key business lines including Markets, Services, and Wealth Management. We provide an array of services to enable client lifecycle transactions; from relationship establishment, supporting the data demands surrounding instruments and delivering non-financial reporting to our regulators.

The Operations Optimization & Enablement Team, within Client Data and Regulatory Operations, is responsible for the execution of strategic change initiatives, including :

  • Developing and implementing Gen AI solutioning strategies in partnership with Technology
  • Driving transformative change initiatives across the organization

    • Role Overview

    We are seeking a highly experienced and visionary individual to lead the end-to-end development and implementation of AI programs and strategic initiatives within the Client Data and Regulatory Operations Group. This role will be pivotal in shaping the strategic direction, driving innovation through practical AI deployments, and ensuring the successful execution of critical programs. A deep understanding of Non-Financial Regulatory Reporting (NFRR) and its strategic implications, particularly how AI can enhance compliance and efficiency in this domain, is required.

    Responsibilities :

  • Leads the conceptualization, strategic development, and hands-on implementation of innovation initiatives, including pioneering projects to significantly enhance operational efficiency and controls within the context of the evolving Operations Operating Model. Actively architects the deployment and integration of advanced automation technologies, including AI, for enterprise-wide strategic impact.
  • Provides strategic direction and thought leadership across Non-Financial Risk Reporting (NFRR) frameworks, defining optimal implementation approaches and establishing robust governance models that integrate strategic planning, dependency management, and proactive risk mitigation.
  • Identifies, evaluates, and champions strategic opportunities across the NFRR framework, leveraging deep insights to architect process optimizations, enhance regulatory compliance, and inform future strategic positioning, with a strong emphasis on leveraging AI-driven solutions for these improvements.
  • Defines the vision and drives the strategic implementation of advanced Artificial Intelligence (AI) programs in close partnership with Technology teams, specifically focusing on strengthening control mechanisms, enhancing reporting capabilities, and fostering data-driven decision-making through deployed AI solutions.
  • Cultivates and directs strategic communication channels and fosters high-impact collaborative environments among diverse senior stakeholders, driving consensus and ensuring alignment with organizational strategic objectives.
  • Oversees the strategic planning of project timelines, comprehensive resource allocation, and robust budget forecasting, ensuring that initiatives are strategically aligned, optimally resourced, and contribute to long-term financial health.
  • Designs and evolves critical governance frameworks and strategic reporting mechanisms, preparing and presenting high-level reports and insights for various senior stakeholder groups, including steering committees and executive leadership, to ensure transparent oversight and strategic alignment.
  • Develops and implements strategic data and documentation management frameworks, ensuring the accuracy, completeness, and accessibility of critical information to support strategic decision-making and uphold audit readiness.
  • Provides strategic oversight and guidance for key initiatives within the Client Data and Regulatory Operations Group, championing strategic best practices to ensure efficient and successful achievement of transformative outcomes.

    • Qualifications

  • Minimum of 5 years of experience in a strategic leadership role within the financial services industry, focusing on transformation, innovation, or strategic program management, with a demonstrated track record of leading and implementing successful AI programs, ideally experience with agentic AI
  • Proven experience in defining and implementing strategic governance models, executive reporting, and enterprise-level risk management.
  • Demonstrated ability to develop and implement strategic documentation standards and frameworks.
  • Extensive experience in developing and presenting strategic insights and recommendations to senior leadership and executive committees.
  • Exceptional strategic planning skills with a keen eye for critical detail.
  • Excellent written and verbal communication skills, with the ability to articulate complex strategic concepts effectively to all levels of stakeholders.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio) for strategic communication and planning.
  • Ability to independently drive strategic initiatives, manage complex interdependencies, and deliver against ambitious strategic goals.
  • Deep understanding of strategic data management principles, advanced analytics, and their application to drive business outcomes, with practical experience in deploying AI / ML models to solve complex business problems.
  • Extensive experience in Non-Financial Regulatory Reporting (NFRR) or other regulatory reporting regimes, with a focus on strategic implications and opportunities.
  • Strong analytical and problem-solving skills, with the ability to conceptualize and leverage data for strategic decision-making within the context of Operations optimization.
  • Proven experience in defining, leading, and overseeing AI strategy and full-lifecycle implementation programs.

    • Competencies

  • Strategic Vision & Execution : Proven ability to translate strategic vision into actionable plans and drive successful execution of complex, enterprise-wide initiatives, especially those involving AI and advanced automation.
  • Strategic Program Leadership : Exceptional ability to define, prioritize, and oversee strategic programs and initiatives, ensuring alignment with organizational goals and delivering transformative results, with specific expertise in managing AI / ML project lifecycles.
  • Executive Communication & Influence : Superior oral and written communication skills, capable of preparing compelling strategic reports, executive summaries, and presentations, and effectively influencing senior stakeholders.
  • Strategic Problem Solving : Proactively identifies complex organizational challenges, conceptualizes innovative solutions, and drives strategic decision-making to overcome obstacles and capitalize on opportunities, leveraging AI as a core component of problem resolution.
  • Strategic Acumen & Precision : Demonstrates meticulous attention to detail in strategic planning, data analysis, and the development of comprehensive strategic frameworks, ensuring accuracy and long-term viability.
  • Strategic Stakeholder Engagement : Builds and maintains influential relationships with senior stakeholders, driving consensus, managing complex expectations, and advocating for strategic initiatives across the organization.

    • Education

  • Bachelor's / University degree. Project Management certification (e.g., PMP, PRINCE2) is a plus.
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