What are the responsibilities and job description for the Data Solutions Architect position at SANS?
Job Details
Data Solutions Architect
Warren, NJ
Contract
REQUIRED TECHNICAL QUALIFICATIONS:
- Hands-on experience on MS Sql, Data modeling, ADF and Azure ADLS, Data Bricks and CICD as Data lead.
- INSURANCE Domain knowledge is required.
- Strong team leadership with demonstrated experience building and managing high-performing teams that rise to new challenges.
- Inspiring leader with a track-record of attracting and retaining great talent, raising the bar, and communicating with clarity and alignment.
- Deep experience leading data and analytics organizations within a complex multi-national organization.
- Proven history of successfully delivering data and analytics projects on time, on budget with high quality.
- Insurance experience will be preferred as will need to work from start.
ROLE SUMMARY AND RESPONSIBILITIES:
- Drive the execution of our Data Strategy for our Insurance division. In this highly visible position, you will apply strong technical acumen and leadership in partnership with business counterparts to effectively define, plan and deliver technical solutions that support business outcomes in service to client's strategy. This is a player/coach role with hands on experience that will lead a group of teams and be a strong engineering leader across the organization.
- Partner and work collaboratively with internal customers to understand strategic analytics and business intelligence needs and the associated enabling technology requirements.
- Lead the technology activities to enable the delivery of meaningful, actionable, data-driven capability in alignment with business strategies
- Develop and lead the execution of the data and analytics technology strategies and roadmaps to optimize rapid delivery of information management capabilities, while aligning to established technology and architecture standards
- Define and deliver the data & analytics architecture, tooling and capabilities needed to enable a modern cloud-based data environment and the best practices, governance, and controls to support the broad adoption and use across the enterprise
- Drive the delivery of an exceptional customer/partner experience through ready access to data and intuitive self-service capabilities that ensures the security, integrity and quality of data while enabling the agility and performance of a scaled ecosystem.
- Deliver enabling capability to support the rapid ingestion of new data and the timely deployment of advanced analytic models into production
- Support the development of engineering capabilities that promotes sharing, inner sourcing and reuse of code, capabilities and methods in a cloud-first environment that leverages highly automated DevOps tools and capabilities
- Drive and accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity
Manage the engagement / coordination across assigned delivery teams to ensure high quality project delivery within scope, timeframe, and budgets
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