Business Information Architect (Remote)

Join us on our mission to create a completely new, 100% digital bank that truly serves customers’ best interests. We are a close-knit and fun-loving team of seasoned financial services professionals who came together for the challenge of building a bank from scratch – and we are committed to doing it all the right way (from technology infrastructure to modern marketing to customer experience).

The anticipated salary range for this role is between $145,000.00 and $189,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire.

The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

We work with the flexibility and speed of a start-up. But we also have significant stability and capital from being part of the SMBC Group (Sumitomo Mitsui Banking Corporation).

SMBC is the second largest bank in Japan and the 12th largest bank in the world with operations in over forty countries.

And SMBC is committed to disrupting the US marketplace with ground-breaking products.

It is the best of both worlds, and we are seeking proven marketing leaders to propel us towards a national launch. We have both the ambitious growth plans and the ‘patient capital’ necessary to execute a multi-year plan.

Join us on the journey to deliver an exciting concept of evolved banking.

General Summary :

As a Business Information Architect, you’ll work to optimize data feeds and enable self-service data to drive the Data & Analytics strategy across the business.

This position holds responsibility for the development and implementation of the information architecture to support the measuring and monitoring of enterprise business needs.

Maintains the design around the full set of Enterprise information capabilities that support existing and strategic business capabilities.

You’ll be working with data feeds and reporting pipelines supporting multiple product lines, making them available to leaders across the company.

You will be responsible for creating strategic roadmaps for individual data feeds and generating specific requirements for the Data Engineering team to address defects and optimize data consumption.

You’ll own the enablement of core data feeds and design their Data Warehouse integrations. The ideal candidate is a tech-savvy strong communicator who understands how to make data understandable by everyone.

This role includes regular opportunities to partner closely with stakeholders across domains and at all levels.

Principal Duties and Responsibilities :

Data Profiling Team Leadership :

• Lead and oversee the Data Profiling Team, fostering a collaborative and results-driven culture.
• Collaborate with IT Data Engineering partners to design and implement architectural data solutions.
• Construct business-ready data models and develop complex SQL queries to support analytical needs.

Data Warehouse Ownership :

• Take full ownership of the Data Warehouse environment, ensuring its reliability and performance.
• Work closely with cross-functional teams to optimize data models and schema structures.
• Identify and address existing and emerging risks related to data activities and the job role.

Information Architecture and Strategy :

• Utilize information architecture tools, including data catalogs and entity relationship diagrams.
• Assess and improve the health and maturity of information capabilities within the domain.
• Identify and recommend new information capabilities to support business objectives.

Collaborative Leadership :

• Collaborate with other architectural disciplines to influence information architecture direction.
• Recommend appropriate data sources for solution development and delivery.
• Encourage internal adoption and self-sufficiency of stakeholders on the data platform.

Data Management and Analysis :

• Own data tools, pipelines, and cataloging to ensure data availability and accuracy.
• Develop and maintain datasets representing the source of truth for key metrics.
• Address data quality issues and perform exploratory data analysis using Python.

Job Specifications :

• Bachelor’s degree in computer science, Applied Statistics, or a related field.
• 8 years experience in building data warehouses
• Expert knowledge of SQL, including writing and optimizing queries.
• Proficiency in Python and the Data Science Stack (Pandas, Matplotlib, etc.).
• Strong skills in multiple database technologies and data tools.
• Exceptional organizational skills and attention to detail.
• Effective presentation and data visualization abilities for diverse audiences.
• Highly proficient in MS Office and other relevant software.
• Ability to work independently and prioritize tasks efficiently.
• Strong problem-solving skills from both technical and business perspectives.
• Excellent communication skills with stakeholders at all levels.
• Eagerness to learn and expand knowledge in the data domain.
• Ability to document work and support team members.

Preferred Qualifications :

• Familiarity with FIS core banking.
• GCP Data Certification.
• Experience with ETL / ELT pipelines.
• Familiarity with writing and reviewing version-controlled code (GitHub).
• Experience in an agile Kanban workflow.
• Clean and intuitive coding practices.
• Experience in a distributed / remote workplace.

EOE STATEMENT

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

CCPA DISCLOSURE

Personal Information Collection Notice : This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that Manufacturers Bank collects and the business or commercial purpose(s) for which the PI may be used.

We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https : / / www.

manufacturersbank.com / CCPA-Privacy. Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format.