Manager Data Integration Architect

Bridgestone Americas•Brook Park, MN

2d•Onsite

About The Position

Credit First National Association (CFNA), the consumer credit division of Bridgestone Americas, is seeking a Manager Data Integration Architect to provide technical expertise in AWS Databricks and strategic leadership for the team. The position recommends strategic and operational plans for developing and implementing new products and establishes technical standards, tools, and governance for capturing, modeling, storing, and delivering enterprise data. The role is onsite at the company's office in Brook Park, Ohio, and requires the employee to live within commuting distance. Local candidates are highly desired, and relocation may be offered to the right candidate. Sponsorship is not available. The position serves as a principal advisor and thought leader, supports complex projects across multiple business units, and contributes to continuous improvement and automation.

Requirements

Typically, at least 12 years of related experience with a bachelor's degree, or 8 years with a master's degree, or 5 years with a PhD, or equivalent work experience.
Technical expertise with AWS Databricks.
Ability to lead and guide a team strategically.
Must be located within commuting distance of the office in Brook Park, Ohio.
Sponsorship is not available for this role.

Nice To Haves

Local candidates are highly desired.
Relocation may be offered for the right candidate.

Responsibilities

Recommend strategic and operational plans for developing and implementing new products and processes that affect functional results.
Serve as a principal advisor and thought leader within the organization, family, sub-family, or specialization.
Recommend and implement continuous improvement and automation activities.
Coordinate and oversee complex projects across multiple business units.
Support relationships through strong communication and negotiation with internal and external stakeholders.
Identify data-related business requirements and service standards, including transaction processing speed, data mining and reporting capabilities, data security, and scalability.
Develop a high-level enterprise data model and conceptual views of related data sub-architectures, including database, data integration, data warehouse/business intelligence, reporting, metadata, and content management architectures.
Optimize data and information flow by reducing redundancy and enabling accessibility within security boundaries.
Perform other duties as assigned.