AVP, Lead Data Architect

Job Description 

Delivering outstanding claim data insights for our business by leveraging timely, quality claim data is a top priority for Chubb. We are looking for an innovative, results-oriented Data Architect with requisite experience and ambition to drive data engineering solutions for Chubb’s cloud-based Claims Data Platform. 

You should have a strong technical background in claims data systems and data architectures, have exceptional organizational skills, written and verbal communication skills and be an analytical and organized thinker. 

You will have a demonstrable track record of developing data frameworks, designs, and delivering modern cloud data platform solutions to help drive business outcomes based on claims data insights. You must be a hands-on person with proven ability to deliver insurance solutions that leverage traditional SQL-based database engineering, no-SQL engineering, and cloud-based data platforms, and are comfortable operating in an agile development team culture, toolset, and delivery lifecycle. 

 

Primary Responsibilities 

• Collaborate with architecture, data, and engineering stakeholders to design, build, and optimize the Claims Data Platform and business insights based on the claims data platform. 
• Provide system expertise by bringing deep knowledge of claims and insurance systems, and understanding the overall claims technology ecosystem, including incoming and outgoing data flows. 
• Help build and maintain claims data pipelines and platforms in connection with the overall IT strategy. 
• Plan, develop, and support data quality outcomes and controls to continuously improve quality of claims data. 
• Work with key stakeholders to establish, implement, and monitor key performance indicators to inform and measure improvements and optimization. 
• Collaborate with squad members and product owners to manage scope and business partner expectations, and provide input into the identification of risks and dependencies. 

Qualifications 

• 10+ years of experience in data architecture and modeling 
• Demonstrated expertise with relational, dimensional, and non-relational models using tools such as ER/ Studio, ERwin 
• Detailed knowledge of claims data engineering and data technologies; experience with Chubb claims systems and technologies is a plus 
• Familiarity with semantic modeling, ontologies, and NoSQL technologies 
• Experience with data management practices and data governance processes - such as MDM, metadata management, data quality, and others. 
• Eloquent and polished -- able to advocate, own and deliver data solutions that run and scale 
• Demonstrated ability to collaborate with business and technology stakeholders to deliver data solutions and insights 

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.