Head of Aon Mergers and Acquisition Analytics

AON GLOBAL OPERATIONS SE SINGAPORE BRANCH; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Aon Global Operations SE Singapore Branch is seeking a senior leader in data analytics to drive risk analytics initiatives, shape client delivery, and embed analytics across the investment lifecycle. The role requires senior leadership in BI, data architecture, and modern analytics tools, with a strong emphasis on automation and data-driven decision making.

You will collaborate with multiple business units, manage a diverse team of analytics professionals, and influence data adoption across the

Qualifications

• 10+ years in a leadership role within BI/analytics.
• Experience in financial services or insurance preferred.
• Data analysis, visualization, data quality, warehousing, data engineering, and financial reporting experience.
• Strong affinity with AI and data trends, including governance and quality.
• Expertise with relational databases, warehousing, and lakehouse tech (SQL Server, Oracle, Databricks, Snowflake, Azure Blob Storage, AWS S3).
• Experience in logical and physical data model design and broader data architecture design.
• Development experience in SQL, Python for data processing, and PowerBI.
• Exceptional communication skills for simplifying complex information.
• Experience working in large, complex, multi-stakeholder environments.
• Ability to influence colleagues toward best practices and technology adoption.
• Passion for automation and digitalization of data processes.
• Adept at creating documentation and data dictionaries for users.

Responsibilities

• Accelerate Aon\'s Risk Analytics agenda using analytics and M&A experience.
• Embed analytics into client delivery and value proposition.
• Embed analytics across the full investment lifecycle from diligence to exit.
• Lead innovation and tool improvements across Aon\'s M&A analytics in EMEA/UK and expand capabilities globally.
• Drive data landscape improvements and support data system enhancements.
• Lead internal data initiatives delivering enhanced BI/MI insights for stakeholders.
• Create more value for clients through enhanced reporting experiences and consistent data structures.
• Support business development with data‑driven decisions.
• Be the business lead for a team of M&A data analysts.

Skills

Leadership in BI/analytics

Data governance & quality

SQL

Python

PowerBI

Data architecture

Stakeholder management

AI & data trends

Documentation & data dictionaries

Communication

Tools

SQL Server

Oracle

Databricks

Snowflake

Azure Blob Storage

AWS S3

Job description

Responsibilities:

• Leveraging analytics and operational experience working with Aon's Mergers and Acquisitions and Transaction Solutions business to accelerate Aon's Risk Analytics agenda.
• Further embed analytics into Aon's value proposition and client delivery model, strengthening our ability to help clients make more informed, data‑driven decisions.
• Embed analytics capabilities across the full investment lifecycle – from pre‑acquisition diligence through portfolio management and exit – to consistently deliver differentiated insight and measurable outcomes for clients.
• Lead Innovation and Tool Improvements across Aon's M&A practice in EMEA/UK and expand existing capabilities globally. Further develop strategy to improve the data landscape, and identify, analyse, and support and lead improvements on high priority data systems.
• This includes being the global lead on key internal data initiatives driving the implementation of new compliance and project management tools with enhanced user experience and greater BI/MI insight for all stakeholders
• In addition, being innovative in delivering greater value for clients and insurers through enhanced reporting experiences and creating more consistent data structures to support this.
• Support key business development by enabling data driven decisions
• Being the business lead for a team of M&A dedicated data analysts

Requirements:

• At least 10 years in a leadership role within BI, analytics, and/or data analytics.
• Proven experience working within financial services or insurance is preferred.
• Background in data-related fields such as data analysis and visualization, data quality, data warehousing, data engineering, and financial reporting.
• Strong affinity with trends in AI & Data, including data governance and quality.
• Expertise with relational databases, warehousing, and lake‑house technologies (e.g., SQL Server, Oracle, Databricks, Snowflake, Azure Blob Storage, AWS S3).
• Experience in logical and physical data model design and broader data architecture design.
• Development experience in SQL, Python for data processing, and PowerBI.
• Exceptional communication skills with the ability to simplify complex information effectively.
• Experience working in large, complex environments with a diverse range of stakeholders across multiple business units.
• Ability to influence colleagues and related data areas toward best practices and technology adoption.
• Passion for pushing automation and digitalization in data processes.
• Adept at creating documentation and data dictionaries for internal and external users.