Global Data Delivery Lead

Responsibilities

• Data Integration & Architecture
• Design and maintain robust data pipelines using ETL tools.
• Integrate diverse data sources into a unified data warehouse or Lakehouse architecture in Databricks.
• Support the transformation of raw data into conformed enterprise models and data schemas for reporting in Power BI.
• Integrate Power BI with various data sources, including SQL Server, SharePoint, external APIs, Databricks.

BI Development & Visualization

• Develop and maintain data models, including DAX calculations, to support Power BI reports and dashboards.
• Design and develop interactive Power BI reports and dashboards using Power BI desktop.
• Ensure semantic models are optimized for self-service analytics and paginated reporting.

Analytics & Insights

• Collaborate with business stakeholders to define KPIs and build analytical models.
• Work closely with Group data office to execute on our unified global data delivery strategy as well as ensuring our data delivery pipelines are optimized for AI use cases.
• Apply statistical and predictive modeling techniques to uncover trends and patterns.
• Support AI-driven initiatives by preparing structured data for modeling and insights.

Governance & Quality

• Implement data quality rules and validation checks to ensure trusted reporting.
• Participate in data governance initiatives to align with compliance and regulatory standards.

Collaboration

• Work closely with cross-functional teams including data stewards, architects, business analysts, data scientists and end users.
• Provide technical guidance as applicable to junior/offshore resources.
• Engage in stakeholder communication and triage data requests for prioritization.

Requirements

• Bachelor’s degree in information technology, Computer Science, Business Analytics, or a related field.
• A minimum of 7 years of experience in progressive data delivery and Power BI development.
• Hands-on strong technical proficiency in SQL, data warehouse concepts and data integration techniques, with focus on Databricks.
• A strong understanding of data platforms, analytics tools, and AI technologies, with the ability to resolve issues related to data and reporting.
• Excellent communication and interpersonal skills, with the ability to engage effectively across all levels of the organization.
• Knowledge of Power BI best practices for data modelling and reporting.
• Knowledge on insurance business processes and terminologies including underwriting, claims, pricing, operations etc. preferred.

Commitment to The Ascot Way

Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

Pay

Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot’s total compensation package for employees. Other rewards may include an annual cash bonus and other forms of discretionary compensation awarded by the Company.

Benefits

The Company provides a competitive benefits package that includes the following (eligibility requirements apply):

• Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more.
• Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver).
• Retirement Benefits: Contributory Savings Plan (401k).