Job Information
The Hartford Director of Cloud Data Architecture - Hybrid in Charlotte, North Carolina
Dir Data Architecture - GT06AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
T he Hartford's Enterprise Data Services (EDS) is seeking a Director of Cloud Data Architecture responsible for modernizing and simplifying a portfolio of assets supporting Commercial Lines and Sales & Distribution portfolio.
This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities:
Data Architecture Strategy:
As a leader, you’ll be responsible for designing and delivering the Data Architecture strategy for Commercial Lines and Sales & Distribution.
You’ll collaborate directly with senior stakeholders across various functional areas.
Current and Target State Architectures:
Develop and maintain both current and target state data architectures.
Define strategy and roadmaps to guide transformation efforts.
Data Transformation Roadmap:
Create a roadmap for Data Transformation, addressing challenges related to legacy technology stacks, complex data pipelines, data freshness, delivery speed, and quality.
This involves modernizing and simplifying existing data assets.
Architecture Patterns:
Create architecture patterns for both Hybrid and Cloud Data ecosystems (including AWS Cloud, Snowflake, and On-Premises).
Ensure alignment with data architecture principles, standards, strategies, and target states.
Consider data consumption across the entire ecosystem.
Industry Trends and Implications:
Analyze emerging business and technology trends (such as Gen AI).
Translate these trends into actionable capabilities within functional and technology domains.
Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design.
Real-Time Data Integration:
- Design architecture patterns using near real-time or real-time data cache for integration with operational systems.
Governance and Best Practices:
Define and enforce data architecture standards, procedures, metrics, and policies.
Be a thought leader, driving positive change and simplification while improving delivery speed.
Mature data architecture processes, promote best practices, and establish reference architectures.
Leader who is part of the Enterprise Data Services Architecture Center of Excellence driving architecture standards, best practices and governance processes to ensure projects are compliant with overall data strategy.
Large-Scale Data Ecosystems:
Architect and design large-scale Data Ecosystems, leveraging modern data and analytical tools.
Leverage concepts like Data Domains and Data Products.
Leadership and Collaboration:
Lead initiatives for continuous improvement, ensuring alignment between business strategies and technology roadmaps.
Provide technical leadership, mentoring, and coaching to technical teams.
Collaborate with extended architecture, business, and IT support teams to develop functional and technical blueprints.
Possesses functional knowledge and skills reflective of a competent practitioner with the ability to deliver on work of highest technical complexity.
Enables a high performing team that has a culture of continuous learning, collaboration, and is focused on business outcomes.
Educate and influence multiple stakeholders.
Automation and Scalability:
- Ensure that automation and data strategy implementations are scalable, reusable, and integrated.
Qualifications:
10+ years of experience in Architecture, design and development of large-scale data ecosystems
Mastery level Data Architecture skills – a deep understanding of data architecture patterns data warehouse, integration, data lake, data domains, data products and cloud technology capabilities
Strong experience with design and development of complex data ecosystems leveraging next generation of cloud technology stack across AWS Cloud, PySpark and Snowflake.
In depth knowledge of Data management strategies, principles and practices including experience with framework for data quality, data governance, data domains, data products, stewardship and metadata management.
Robust Data Architecture skills - sets direction for and possesses a deep understanding of data architecture and strategies which integrate with industry trends.
Knowledge of technology and information systems, with focus on data analysis, data modeling, relational database, and reporting tools including real-time and historical reporting and analytical needs
While not mandatory, experience in the Property & Casualty insurance industry is preferred.
Exceptional verbal and written communications skills with the ability to articulate complex concepts to both technical and non-technical audiences including senior leadership (AVP, VP, SVP) levels.
Understanding of enterprise data models and utilization of transactional and relational data from sources from systems like Policy Admin
Has strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation.
Display strong customer service orientation, a commitment to professionalism, and an excellent work ethic.
Bachelor’s degree or Master’s degree in management information systems, Finance, Statistics, Computer Science, or other related field.
Demonstrated complex planning, conceptual, consulting, and communication skills, analytical ability, strong decision-making skills as well as management skills.
Ability to work with a diverse team of stakeholders to prioritize and manage many simultaneous deliverables.
Ability to think strategically, assessing business goals and translating them into technical roadmaps.
Experience in the Development of Data Strategy aligned with business strategy.
Agile experience/mindset. portfolio delivery experience, engaging in the full lifecycle experience, from planning to delivery and management of the solution lifecycle to produce solution designs that are viable and can be successfully constructed, implemented, operated, and managed.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$138,080 - $207,120
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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Human achievement is at the heart of what we do.
We believe that with the right encouragement and support, people are capable of achieving amazing things.
We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.
Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.
We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.
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