Manager Data Solution

Overview

The Manager Data Solution role is aligned to our Implementation team and will partner will various divisions and levels of leadership within the whole organization.

They serve as a vital link between technical experts, business stakeholders, and leadership across the organization. This role is responsible for overseeing the management of requirements gathering, analysis, and development to support the implementation and ongoing maintenance of file layouts, data ingestion artifacts, data governance, and data migration initiatives. In this leadership role, they provide guidance, mentorship, and performance oversight to team members, serving as a point of escalation and a key driver in defining and refining processes.

Key Responsibilities:

• Leading application-focused projects related to troubleshooting, maintenance, and delivery. while maintaining high standards for data integrity and quality.
• Assisting teams with day-to-day workloads and supporting cross-functional initiatives.
• Collaborate with cross-functional teams to facilitate seamless communication and align technical deliverables with business goals.
• Lead efforts to ensure data governance best practices are followed and data integrity is maintained throughout all phases of data migration and transformation.
• This role demands a balance of strategic vision and hands-on expertise to drive data excellence, optimize operational efficiency, and deliver exceptional client service across all levels of the organization.

Responsibilities

• Establish and enforce data governance policies to maintain data quality, security, and compliance.
• Manage client relationships and implementation processes, serving as an escalation point for issues related to file parsing, file layouts, and related workflows.
• Collaborate with analytics teams to develop insights that support business decision-making.
• Directs and oversees the Data Solution Specialists to ensure projects meet Implementation timelines and client expectations.
• Develops and implements processes and policies, directs staff, and works with Key Constituents to  prioritize and develop projects to increase value to internal and external clients.
• Defines methodology for requirements gathering, analysis, development, and testing, and ensures that all staff adopts the methodology.
• Determines Delivery Methodology areas of responsibility & standards: Requirements & Planning Management, Timeline Management, Quality Management, Resource Management (allocation), Risk Management.
• Communicate complex technical concepts to non-technical stakeholders clearly and effectively.
• Work closely with clients to understand their needs and translate them into technical requirements.
• Participates in the strategic planning of data ingestion architecture, processes, and organization at an enterprise level.
• Provides thought leadership on methodologies for data ingestion & migration; to include, but not limited to, GDF, CDF, ARK file layouts, and processes. 
• Provides leadership for Implementations and Client Services to ensure data consistency and appropriateness in file layouts and what is loaded to the database.
• Collaborates with teams to help manages data dictionaries for client data submission through standardized processes
• Plan and manage data migration projects to ensure minimal operational disruption. 
• Drives high performance and develops strong relationships across a matrixed organization. 
• Exhibits strong organizational leadership internally and externally.
• Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that can assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction.
• Partner with newly integrated teams across the organization to pilot emerging technologies, strengthen cross-functional relationships, and identify opportunities to enhance shared data workflows.
• Collaborate with internal teams and strategic partners to evaluate and apply AI/ML technologies that enhance data ingestion, validation, and automation workflows.
• Lead initiatives to develop and integrate AI/ML-based solutions into manual and semi-automated ETL processes, with a focus on improving efficiency, scalability, and accuracy. 

Other Related Responsibilities

• Actively promote and participate in process improvement and adoption of new technologies
• Conduct detailed claims analysis and ad-hoc reporting as prioritized by management
• Produce work that reflects a focus on quality in consideration of the client's (internal and external) needs 
• Pr