Senior Specialist, Data Analytics

Senior Specialist, Data Analytics at AIG

Join us as a Senior Specialist, Data Analytics within our Global Legal, Compliance and Regulatory (GLCR) team to take your career to the next level with a global market leader.

Make your mark in Global Legal, Compliance and Regulatory (GLCR).

Our Global Legal, Compliance and Regulatory (GLCR) team provides first-class advice to colleagues and functions across the organization — ensuring AIG navigates an ever-changing landscape that spans state, federal, and international lines. The team has a multi-dimensional impact, from helping avoid legal exposure to collaborating with other functions to develop cutting-edge new products.

How You Will Create An Impact

As a Senior Specialist, Data Analytics in the GLCR Service Delivery team, you will have an exciting opportunity to work across multiple business areas, gaining deep insights into AIG’s products and services. In addition, you will be part of the Program’s transformation efforts in rolling out Data Analytics program and supporting the use of automation across the department.

The GLCR Service Delivery department seeks candidates who have excelled in previous work experience, possess strong analytical, quantitative, and interpersonal skills, and are enthusiastic about and committed to AIG to contribute to the firm’s strategic goals. You will be expected to bring an Analytical and Innovation mindset to a team-oriented environment.

Key Responsibilities Include

• Strong problem-solving skills with emphasis on AI, Data Analytics, and Automation.
• Mine and analyze large amounts of data from multiple data sources to identify and interpret patterns applicable to the Compliance organization.
• Develop models using various industry-standard tools to automate manual processes.
• Collaborate with leadership to manage the financial analytics platform of GLCR, including budgeting, forecasting, and financial and accruals reporting.
• Manage department Analytics Infrastructure and Data Warehouse.
• Refine, Manage, and Monitor Ongoing GLCR Models, dashboards, workflows, and bots to ensure they run at defined frequency and promptly troubleshoot or fix any failures.
• Good working knowledge of Robotic Process Automation and Machine Learning.
• Good understanding of Risk-based Analytics with the goal to provide assurance on Global Legal, Compliance and Regulatory (GLCR) risks.
• Provide ongoing surveillance, review, and analysis of key risk indicators to identify red flags and potential violations.
• Proven track record in Analytics Storytelling and effectively communicating findings.
• Build close working relationships with business and functional leaders, colleagues across other assurance functions, and fellow team members.
• Use predictive modeling to increase and optimize the value of the Analytics Solution.
• Experience using statistical languages (Python, R) to manipulate data and draw insights.

Qualifications

• 2-5 years of relevant AI, analytics, and Automation experience.
• Bachelor’s or Master’s Degree, preferably in Data Analytics, Information Science, Computer Science, Data Science, Statistics, or other related discipline.
• Experience developing solutions utilizing Analytics, AI, database, and Visualization tools (e.g., SQL, KNIME, Oracle, Snowflake, Power BI, R, and Python).
• Experience in developing solutions using the Microsoft stack, including Power Automate, Power Apps, Power BI, Co-pilot studio, and Fabric.
• A strong drive to learn and master new technologies and techniques.
• Experience in building and managing Robotics Process Automation bots.
• Ability to create and manage SharePoint and other vendor-based Workflows.
• Strong interpersonal skills to establish effective working relationships with and provide constructive feedback to stakeholders, colleagues, and reviewers.
• Strong verbal and written communication skills, including presentation skills.
• Effective time management skills; coordinate and prioritize competing initiatives while meeting deadlines.
• Ability to document processes and transfer knowledge to team members.
• Strong attention to detail and commitment to accuracy and on-time delivery.

Work Environment & Benefits

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, well-being, and financial security—as well as your professional development—to bring peace of mind to you and your family.

About AIG

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty, and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Culture of Inclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions, and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities, and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

Key Skills/Competency

• Data Analytics
• Automation
• AI/Machine Learning
• Robotic Process Automation (RPA)
• Data Warehousing
• Predictive Modeling
• Data Visualization
• Python
• R
• SQL