machine learning engineer

machine learning engineer Scottsdale, AZ

Manufacturers Bank
Full Time Scottsdale, AZ 127896 - 88063 USD ANNUAL Today
Job description

JENIUS DIGITAL BANK MISSION STATEMENT:

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).

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 2nd largest bank in Japan and the 12th largest bank in the world with operations in over 40 countries. And SMBC is committed to disrupting the US marketplace with ground-breaking products.

It’s 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:

We are on a mission to build the best digital banking experiences for our customers, and we are looking for an SVP, Head of Engineering – Data Architecture, Engineering, and AI/ML who can help lead this mission. If you are passionate about challenging the status quo and building innovative new solutions to old problems, then we have an exciting opportunity for you!”


PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Design, implement and lead Data Architecture, Data Quality, Data Governance across the Digital Bank.
  • Defining data modeling standards and foundational best practices.
  • Support establishing data governance processes, procedures, policies, and guidelines to maintain the integrity and security of the data.
  • Create and maintain critical data standards and metadata that allows data to be understood and leveraged as a shared asset.
  • Lead the design of data schemes, object models, and flow diagrams to structure, store, process, and integrate data.
  • Provide architectural assessments, strategies, and roadmaps for data management and advanced ML/AI platforms.
  • Apply hands-on subject matter expertise in the Architecture and administration of Big Data platforms, Data Lake Technologies and experience with ML and Data Science platforms.
  • Implement and manage industry best practice tools and processes such as Data Lake, Delta Warehouse, ELT Tools, GCP, Big Query, Vertex A, Kafka, Kubernetes, Docker, CI/CD, DevOps.
  • Define the strategy for Data Engineering and Platform engineering, work cross functionally to ensure key stakeholders, business and product requirements are aligned.
  • Define, Develop, and Own short-term and long-term tech roadmap as well as development and ownership of tech stack, engineering lifecycle, and a development framework with strong input on the overall product roadmap and lifecycle.
  • Be responsible for leading the Data Architecture, data platform engineering, AI/ML functions at the Digital Bank. You will shape the charter of the team.
  • Lead the architecture and engineering team, including day to day execution and long-term planning. You will solicit new project ideas, prioritize them for impact, and drive execution across the organization.
  • Work closely with other teams throughout the company and key 3rd party solution providers to enable data-driven decision making.
  • Identify and mitigate potential risks and challenges associated with data architecture, engineering, and AI/ML projects.
  • Other duties as assigned.

Apply Here

About Manufacturers Bank

Revenue: $25 to $100 million (USD)
Size: 201 to 500 Employees
Type: Company - Private
Website: www.manufacturersbank.com

machine learning engineer
Manufacturers Bank

www.manufacturersbank.com
Los Angeles, CA
$25 to $100 million (USD)
201 to 500 Employees
Company - Private
Investment & Asset Management
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