Senior Manager - Technology & Data Innovation, Chief Accounting and Capital Office

AXA•Stamford, CT

22h•Onsite

About The Position

As a key member of our Global CFO team, the Senior Manager - Technology & Data Innovation will leverage deep insurance domain expertise, automation and data modeling, and cutting-edge AI techniques to enhance our data utilization, reporting efficiency, and system integration. Operating within a landscape of legacy systems and constrained upgrade budgets, this role demands creative problem-solving, strategic thinking, and a proactive approach to extracting maximum value from existing technology infrastructure. The ideal candidate will pioneer innovative, cost-effective methods to streamline data flows and improve decision-making capabilities across the Global CFO function. This role is aligned to the strategic enterprise direction of the Company and will be a catalyst for broader digital transformation within the Global CFO function. Join us in transforming our financial systems through innovation and strategic use of AI. Be part of a forward-thinking team dedicated to maximizing efficiency and delivering high-quality insights, maximizing the use of existing technology. Your creativity and expertise can make a real impact on our global operations and help shape the future of our Global CFO function.

Requirements

Bachelor’s degree in Computer Science, Data Science, Finance, or a related field; advanced degrees preferred
Proven experience within an insurance company or financial services organization (preferred), particularly in finance technology or finance data management roles
Strong understanding of legacy insurance systems, financial reporting processes, and regulatory frameworks
Hands-on experience with AI/ML techniques, including natural language processing, anomaly detection, predictive modeling, and automation tools
Demonstrated ability to develop innovative, low-cost technical solutions in constrained environments
Proficiency in programming languages such as Python, R, or similar, and experience with open-source AI libraries
Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into actionable business insights
Self-starter with a proactive mindset and the ability to work independently across multiple projects
Ability to navigate a complex global organization, understand constituencies served, and develop/leverage relationships necessary to bring matters to resolution.
Strong active listening, critical thinking and problem-solving skills, a high degree of accountability to self and the team, and a proven ability to work independently.

Nice To Haves

Latest AI certifications specially on AI architecture is preferred

Responsibilities

Develop and execute robust data management strategies to optimize ETL processes from legacy and current financial systems, reducing manual efforts and improving the accuracy and timeliness of financial reports.
Identify and implement opportunities to leverage AI and machine learning to automate routine data processes, improve data quality, and enable predictive analytics within existing system constraints. Drive digital transformation across the Global CFO function through AI‑enabled decision support and process automation.
Design, pilot, and scale AI-powered workflows—such as natural language processing for document handling or anomaly detection and reconciliation—to boost efficiency and reduce operational risk in financial reporting, and compliance activities.
Work closely with Global CFO fucntion, IT, and business partners to identify pain points, gather requirements, and deliver tailored AI solutions that meet regulatory and reporting standards.
Prioritize low-cost, high-impact initiatives by utilizing open-source tools, cloud-based AI platforms, and existing system interfaces, avoiding costly system upgrades.
Stay abreast of emerging AI, digital transformation and data management trends within the insurance industry and broader financial sector, sharing best practices and recommending scalable innovations.
Ensure all data handling and AI initiatives comply with data privacy, security standards, and regulatory requirements pertinent to insurance finance.