About The Position

The Senior Manager, Business Intelligence & Analytics leads the development and delivery of enterprise analytics, reporting, and data-driven insights for AIG’s Internal Audit Department. The role partners with senior leaders and internal auditors to turn complex operational, risk, and performance data into clear, actionable insights. It combines technical expertise in business intelligence and data modeling with business acumen, stakeholder management, data governance, and analytical storytelling. The position leads the design of scalable reporting solutions, executive dashboards, KPI frameworks, thematic and root-cause analysis, and analytics capabilities. These solutions help leadership identify emerging risks, understand performance drivers, prioritize remediation, and make informed business decisions. The role also provides technical and analytical leadership, mentors team members, and serves as a subject matter expert to business stakeholders and senior leadership. AIG asks team members to work primarily in the office to support in-person collaboration. The position is eligible for a bonus under the applicable incentive plan. AIG describes its Total Rewards Program as including benefits focused on health, wellbeing, financial security, and professional development.

Requirements

  • At least 8 years of experience in business intelligence reporting, data management, or related disciplines.
  • Significant experience delivering analytics and reporting solutions in complex enterprise environments.
  • Advanced experience with Power BI, SQL Server, DAX, and dimensional data modeling.
  • Strong understanding of data quality, governance, KPI development, and enterprise reporting.
  • Experience supporting Internal Audit Operations or regulated business functions.
  • Strong experience developing executive dashboards and presenting insights to senior leadership.
  • Ability to translate complex technical and analytical findings into clear business narratives and recommendations.
  • Strong stakeholder management, communication, problem-solving, and leadership skills.

Nice To Haves

  • Experience in the Internal Audit domain.
  • Experience with ServiceNow IRM or similar Governance, Risk, and Compliance platforms.
  • Experience establishing reporting standards and enterprise analytics operating models.

Responsibilities

  • Lead the design, development, and delivery of enterprise BI and analytics solutions supporting Internal Audit Operations and senior management.
  • Translate complex business requirements and questions into scalable reporting, analytics, and data solutions.
  • Establish reporting strategies, KPI frameworks, scorecards, and analytical approaches aligned with business and regulatory objectives.
  • Identify opportunities to improve decision-making through advanced analytics, automation, and AI-assisted analysis.
  • Provide technical and analytical leadership to other team members.
  • Develop executive dashboards and management reporting that communicate trends, risks, performance indicators, and issues requiring management attention.
  • Turn complex datasets into concise, actionable narratives for senior leadership and governance committees.
  • Present analytical findings, emerging trends, and business implications to senior management.
  • Design and develop enterprise Power BI dashboards, scorecards, and analytical applications.
  • Build scalable semantic models using dimensional and star-schema modeling principles.
  • Develop advanced DAX measures and reporting logic for complex business requirements.
  • Create visualizations that support executive monitoring and detailed analytical investigation.
  • Use SQL Server and other enterprise data sources to extract, transform, integrate, and analyze data.
  • Integrate data from platforms such as ServiceNow IRM, SharePoint, and Snowflake databases.
  • Identify source-system data-quality issues and assess their effect on downstream analytics and reporting.
  • Develop data-quality reports and partner with auditors and technology teams to remediate recurring data issues.
  • Identify opportunities to use AI and advanced analytics to improve analytical efficiency and insight generation.
  • Lead requirements-gathering sessions and translate business questions into analytical solutions.
  • Manage competing reporting priorities and establish delivery roadmaps.
  • Mentor team members and promote best practices in analytics, visualization, data modeling, and data storytelling.
  • Serve as a subject matter expert to business stakeholders and senior leadership.

Benefits

  • AIG describes a Total Rewards Program with benefits focused on health, wellbeing, financial security, and professional development.
  • Bonus eligibility in accordance with the applicable incentive plan.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service