Business Intelligence Delivery Lead
Location: Whitehouse, Jersey City, Philadelphia, Wilmington Delaware or NYC
Join a winning Team!
This position provides technical oversight and delivery of up to 2 scrum teams within the claims data and analytics space. You will provide hands-on technical guidance on Claims Analytics and Business Intelligence projects as well as production support.The BI Delivery lead will partner with Claims analytics architects, data analysts, developers, modelers, and testers to manage all technical aspects of Agile projects. Critical to this role is an understanding of modern data-driven application architecture, data analytics and engineering and Cloud platforms.
To be successful in this role:
You must be a strong communicator, ability to lead large teams, collaborate closely with the business and develop and deploy business intelligence solutions.
Job Responsibilities
This individual will be partnering with architects and technical leads from other functional areas as well as playing the role of a technical lead for a group. You will be required to bring the team together and drive architecture and design decisions and to manage all technical aspects of Agile projects. The role will also lead and influence technical directions of the software architecture and design.
Ensure Quality Deliverables - Enforce best practices, address critical issues timely, and conduct performance testing to deliver efficient claims data and analytics solutions
Building high performing relationships, drive business engagement, manage expectations, align with senior leadership, and working teams on initiative deliverables
Collaborate and support business partners to develop service level agreements (SLA) for production applications/analytic solutions and ensure that the support team meets the SLA
Communicate effectively with production support team, development team, business users and IT managers to assist in the technical solutions to issue tickets with proper follow-ups and coordination.
Implement end-to-end reusable and scalable analytic projects for complex data-driven business solutions that enables advanced analytics and business insight capabilities
Provide technical leadership and direction on Agile teams implementing Data & Analytics and BI solutions
Engage in team level and program level Agile ceremonies
Assists scrum master in resolving impediments and coordinates with other team leads to manage inter-team dependencies
Raises delivery and technical impediments to program lead, technical leads, solution architects, or program architects as necessary
Work with the overall delivery program facilitating proactive communication to stakeholders including risk management, incident process and issue resolution
Gain expertise in the business units supported, as well as an understanding of the IT organization's systems and capabilities
Technical oversight on project work and production support related to application and toolset deployments, enhancements, and upgrades
Stay on top of technical trends, experiment with and learn new technologies
Experience and Competencies
Bachelor's Degree or equivalent (required)
Experience providing financial-industry business solutions (Insurance P&C experience is a plus)
Proficiency with data-driven applications and integration, Cloud technologies and concepts, real-time analytics, business insights, streaming data, and machine learning tools.
Facilitate technical design and overview discussions with projects team which includes architects, data analysts, developers, modelers, and testers
Accountability in deliverables across the program including helping the team take accountability
Effective time management/prioritization, pushing team members to close impediments faster and proactively escalate when commitments have critical blockers
Experience with Cloud platforms such as Azure, AWS or Google and Data Lake technologies Azure is preferred, and a knowledge of the Azure Analytics and Integration stacks would be a definite plus.
Experience with SQL, ETL technologies and data visualization tools such as Qlik and Tableau.
Experience with using DevOps, continuous integration, and automated testing with related tooling for delivery.
Experience in designing or using micro-services and API-based architectures.
Familiarity with multi-tier application architectures.
Knowledge of relevant information systems design best practices and requirements analysis especially as it pertains to advanced analytics and data engineering solutions.
Pro-active and creative approach to problem solving.
Partnership and Teamwork
Good communication and leadership. Must be able to provide guidance and feedback to technical resources (including contract resources) as well as managers.
Demonstrate strong ability to work in a team environment with the ability to influence and foster cross-team and cross-area collaboration.
Collaboration with business stakeholders and production support team to ensure SLAs are met
Work with other tech leads and architects to ensure alignment with global data & analytics strategy escalating deviation as needed
Ability to execute and prioritize several tasks simultaneously
