Data Solution Architect

Description

Reporting into Tech Data Leadership this role is pivotal in driving solutioning around Corporate Risk and Broking (CRB) data challenges and developing insights through advanced analytics and AI, developing predictive models and client applications to support risk and broking. The Data Analyst / Solution Architect actively manages stakeholder relationships, ensuring that business needs are translated into actionable data solutions. A key focus is on tracing and documenting data lineage across systems, guaranteeing transparency, compliance, and trust in all data-driven initiatives. The role balances analytics and model development with client application integration operating as a bridge between technical teams and business stakeholders to deliver impactful, high-quality solutions.

The Role

Analytics & Model Development – Creating Insights, Ensuring Data Lineage

• Collaborate closely with product owners, engineers, and business stakeholders to develop solutions to data related challenges and ensure solutions align with business needs and priorities.

• Develop predictive models for broking and revenue forecasting using corporate platforms (e.g., Python, scikit-learn, TensorFlow).

• Analyze CRB data (e.g., client portfolios, market feeds) to generate actionable insights for business stakeholders.

• Build revenue models to optimize R&B financial outcomes.

• Trace and document data lineage across all relevant systems, ensuring data sources, transformations, and usage are transparent and auditable.

• Ensure model accuracy, robustness, and compliance through rigorous testing and validation.

Client Application Integration – Enabling AI-Driven Solutions

• Develop AI-integrated client applications (e.g., automated broking tools) for R&B workflows

• Work with engineers to integrate models into data products and dashboards

• Support data presentation efforts, ensuring insights are actionable for brokers/advisors

• Monitor application performance, incorporating feedback for improvements

• Foster strong stakeholder relationships by gathering feedback, incorporating user needs, and driving continuous improvement.

• Monitor application performance and data flows, proactively addressing issues related to data quality, lineage, and user experience.
 

Qualifications

What you’ll bring 

• Bachelor's or master's degree in data science, Statistics, Computer Science, or related field
• Experience in data analytics, machine learning, or predictive modeling
• Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow)
• Familiarity with Microsoft Azure/Fabric for data processing
• Knowledge of corporate risk and broking (R&B) industry
• Experience developing AI-driven applications or models
• Skills in data visualization (e.g., Tableau, Power BI)
• Ability to work in agile environments with cross-functional teams
• Strong analytical and problem-solving skills for complex datasets
• Proven delivery on analytics or AI projects
• Ability to communicate insights and technical concepts to non-technical stakeholders
• Strong communication and stakeholder management skills.
 

What we offer 

Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

Equal Opportunity Employer 

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@wtwco.com