Executive Director, Head of Engineering - Data & AI
Scottsdale, AZ, US, 85255
Full Time Executive-level / Director USD 238K - 265K
Sumitomo Mitsui Banking Corporation
三井住友銀行のホームページです。口座開設、住宅ローン、外貨預金、投資信託等の各種商品・サービスについて掲載しています。インターネットバンキングでは、残高照会や振込、外貨預金や投資信託のお取り引きの他、便利なWeb通帳もご利用いただけます。Join our mission to create a completely new, 100% digital bank that uses consumer feedback to truly meet customers’ best interests. Jenius Bank, a division of SMBC MANUBANK, and a member of SMBC Group, is being built by a close-knit and fun-loving team of financial services professionals and technology experts who came together for the challenge of building a full-service digital bank from scratch. We’re committed to doing it the right way for the customer and are growing rapidly. To learn more about our relationship to our parent company, visit our website.
The anticipated salary range for this role is between $238,000.00 and $265,000.00. The specific salary offered to an applicant will be based on their individual qualification, experiences, and analysis of current compensation paid in their geography and the market for similar roles at time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC MANUBANK offers a competitive portfolio of benefits to its employees.
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Jenius Bank is strategically scaling up a portfolio of products and building extraordinary experiences. In 2023, we launched our first two products reaching $1 billion in deposits and over $700 million in loans, all before Jenius Bank’s first anniversary. We don’t plan to slow down, with ambitious growth plans and the capital necessary to execute a multi-year strategic plan. We have a start-up mindset paired with SMBC Group’s 400 years of history.
SMBC Group has more than 150 offices and 86,000 employees worldwide in nearly 40 countries and is committed to creating new business to better serve customers in the rapidly evolving digital environment. Join us on the journey that has caught the attention of the Banking Dive, and more to reinvent banking where smarter banking translates to a richer life.
SUMMARY:
SMBC is one of the largest global banks, operating across 30+ countries, including the United States. We charted to build a new digital bank in US for SMBC, we intend to disrupt the digital banking landscape with “banking the way it should be” and an innovative collection of banking products and services. We are on a mission to build the best digital banking experiences for our customers, and we are looking for an ED, Head of Engineering – Data & AI Engineering, 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:
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- Design, implement and lead Data Architecture, Data Quality, Data Governance, and AI solutions across the Digital Bank
- Defining data modeling standards and foundational best practices
- Support establishing data & AI 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, ETL Tools, GCP, Big Query, Vertex A, Kafka, Kubernetes, Docker, CI/CD, DevOps.
- Define the strategy for Data & AI 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.
- Other duties as assigned.
POSITION SPECIFICATIONS:
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- B.S. or M.S. in Computer Science, or equivalent.
- 15+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting and leading engineering teams.
- 7+ years of hands-on experience in productionizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Data streaming, Kafka, GCP Platform, and more.
- Extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse.
- Proven experience in building Enterprise Data Lake, Data Warehouse, AI/ML Platforms
- Knowledge of infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with GCP, Azure or equivalent.
- Strong verbal and written communications skills are a must and work effectively across internal and external organizations and virtual teams.
- Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies.
- Strong understanding of distributed systems and container-based development using Docker and Kubernetes ecosystem.
- Deep knowledge of data structures and algorithms.\
- Excellent pattern recognition and predictive modeling skills. Experience with large imbalanced datasets
- Practical experience with engineering and project management methodologies, including Scrum, Agile, Lean, Kanban, Microservices
- Proven track record in developing and managing diverse technologies and systems.
- Extensive banking systems knowledge.
- Experience in working with matrix environment, large corporation/group companies’ environment.
- Experience in supporting regulatory exams and audits, prioritizing, and completing critical findings.
- Coaching and talent development skills including the ability to mentor and motivate others.
- Proven experience as a technical leader for managers of managers, as the leader of an engineering organization driving significant impact.
- Possess a deep understanding of how to translate product and business goals into tech strategies
EOE STATEMENT
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.
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 SMBC MANUBANK 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.smbcmanubank.com/privacy/ccpa-disclosure. 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.
Tags: Agile AI governance Architecture Azure Banking Big Data BigQuery CI/CD Computer Science Data governance Data management Data quality Data warehouse Data Warehousing DevOps Distributed Systems Docker Engineering ETL GCP Kafka Kanban Kubernetes Machine Learning Microservices NoSQL Predictive modeling Privacy Scrum Security SQL Streaming Vertex AI
Perks/benefits: Career development Competitive pay Startup environment
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