Data Operations Lead

This is an opportunity to join Ascot Group - one of the world’s preeminent specialty risk underwriting organizations.

Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we’re bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.

The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both pre- and post-claims. Ascot exists to solve our clients’ brightest tomorrow, through agility, collaboration, resilience, and discipline.

Position Overview:

Reporting to the AVP, Data Transformation & Integration Manager, the Data Operations Lead is a senior individual contributor within Ascot’s Data Strategy & Delivery organization, responsible for bridging business needs and technical solutions across data initiatives. This role focuses on gathering and translating business and technical requirements, leading data-related projects, and facilitating solution design across reporting, analytics, and data platforms. The ideal candidate is highly versatile — equally comfortable engaging with business stakeholders, working with technical teams, and guiding solutions from concept through delivery. This role will be in the office with a hybrid work schedule.

Responsibilities:

• Partner with business stakeholders to understand objectives, challenges, and data needs across operations, finance, underwriting, and compliance.

• Lead requirements-gathering efforts, translating business needs into clear, actionable functional and technical requirements.

• Lead data-focused initiatives and workstreams from intake through delivery, coordinating across data engineering, BI, and operational teams.
• Drive alignment on scope, priorities, and delivery approach while balancing short-term needs with long-term data strategy.

• Facilitate solution design discussions, working with technical teams to evaluate options and recommend practical, scalable approaches.

• Ensure proposed solutions align with Ascot data standards, architecture, and best practices.

• Act as a thought partner to both business and technical teams, helping shape solutions that are accurate, sustainable, and fit for purpose.

• Partner with business and compliance stakeholders to ensure Ascot can meet legal and regulatory reporting requirements by translating requirements into clear data and reporting solutions.

• Lead and support the design, development, and ongoing management of SQL-based reports, including bordereau and data call reporting, leveraging data from multiple enterprise data sources.

• Support the Operations department by enabling data quality analysis, investigating data issues, and helping identify root causes and remediation paths in partnership with technical teams.

• 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.

Requirements:

• Bachelor’s degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience).

• 10+ years of experience working in data, analytics, or reporting roles within complex enterprise environments.

• Experience working with financial, operational, or regulatory data required; insurance or financial services industry experience preferred.

• Strong SQL skills for data analysis, validation, and investigation.

• Solid understanding of data warehousing, reporting, and analytics concepts.

• Ability to read and interpret data models and understand upstream/downstream data impacts.

• Experience partnering with BI tools (e.g., Power BI)