Company Description : Gallagher is a global insurance brokerage, risk management, and consulting firm that serves communities worldwide.

The company provides a range of services including property and casualty brokerage, employee benefit consulting, risk control consulting, and human resource consulting.

How will I contribute to the business?.

The GCOE Data, Analytics & AI Lead is responsible for mobilizing GCOE capabilities to deliver the Data, Analytics & AI strategy.

This leader is a strategic partner in driving the creation and deployment of data assets / products, cognitive capabilities, and AI / Gen AI use cases that enable producers and consulting teams to provide market differentiating insights and thought leadership to clients and prospects.

Responsibilities in this role include : - Partner with the Data, Analytics & AI team to execute strategic priorities, including data ingestion and integration, creation of assets / products, and reporting capabilities.

- Drive data literacy within the GCOE and serve as an evangelist for the value of data and analytics including Gallagher Drive and other capabilities.

- Lead agile delivery of data, analytics & AI capabilities by the GCOE.

- Define, prioritize, and implement features and requirements based on stakeholder input, business objectives, and technical feasibility.

- Create and maintain the backlog of use cases, ensuring that it is well-groomed, prioritized, and aligned with the overall strategy.

- Lead work to implement a modern data and analytics platform, including data integration and development of data assets / products and Power BI dashboards and reports.

- Ensure application of data modeling, visualization, and user experience best practices.

- Lead GCOE data governance efforts, including data source mapping and data inventory.

- Lead data profiling and identify and analyze causes of data quality issues and lead implementation of resolutions.

- Communicate initiative status and partner with Data, Analytics, and AI leads to manage issues and risks.

- Identify, refine, and deliver AI / Gen AI abilities to drive efficiency, agility, and insights.

- Stay current with trends and best practices in data management, integration, and visualization.

- Train and mentor, the GCOE team, identify areas for improvement, and bring recommendations to GBS Data, Analytics & AI leadership.

- Technical capabilities such as Azure Cloud, Databricks, Snowflake, Collibra would be critical to this role and master data capabilities such as Informatica, Reltio etc.

are a plus.

What skills will make me successful in this role?.

- You are a self-starter looking to make an impact with the work that you do.

- You are not afraid of change and want to bring fresh ideas to the table.

- You run to problems- not away from them.

- Meaning, you're looking to identify problems and come up with solutions.

- You believe in 'The Gallagher Way' and can actively champion our core values.

- We love professionals who insert positive energy into our business.

- We believe in active listening as a tool to identify and manage complicated situations.

- You are extremely well organized with attention to detail, yet able to multi-task in an environment of changing priorities.

Do I have what it takes to be considered?.

- Bachelor's degree in computer science, information management, or related field.

- A master's degree is preferred.

- Proven experience (10 years) in data management and data strategy roles.

- Knowledge of processes, benchmarks, metrics, and data for insurance, benefits, financial and retirement services, and human capital management.

- Experience implementing reporting and analytics, including benchmarking and self-service capabilities to improve cost and efficacy internally and for clients.

- Knowledge of data visualization and UI/UX principles, and experience implementing them in Power BI.

- Familiarity with Cloud data platforms and data ingestion/integration tools, data engineering and data management practices, data privacy and security.

- Understanding of AI / Gen AI and cognitive analytics concepts and experience is a huge plus.

- Experience delivering data products in an Agile environment, including workshop facilitation, use case identification, backlog management, requirements grooming, and delivery.

- Stakeholder and user engagement, alignment, and communication.

- Team management and mentorship.

- Knowledge of data privacy and security regulations, such as GDPR or CCPA.

(ref:hirist.tech)