Decision Science Lead, Vice President

UnionBank - San Diego, CA4.2

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world (as ranked by S&P Global, April 2018) with total assets of over $2.9 trillion (106.2 (JPY) as of March 30, 2018) and 150,000 colleagues in more than 50 countries. In the U.S., we’re 13,000 strong, working together to positively impact every customer, organization, and community we serve. At Union Bank, we aim to be the premier and most-trusted West Coast bank, serving customers with high-touch, local delivery and global capabilities as we leverage our rich, 150-year history. This is all part of our inclusive, high-performing culture supported by competitive Total Rewards, including our cash balance pension plan. Join a team that’s working to fulfill its vision to be the world’s most trusted financial group.

Job Summary:
The Data Science Lead will provide thought leadership on how to apply data analytics methods or machine learning algorithms on the wealth of internal and external data collected for MUFG’s business. In addition to collaborating with leaders in the Office of the Chief Data Officer (OCDO), this role will work closely with our Technology teams, and business leaders throughout the organization to create a federated data science function, facilitating the development of data analytics solutions using consistent data definitions governed by OCDO.

Major Responsibilities:
Develop and maintain consultative relationships with key business stakeholders, proactively identifying data analytics needs to meet business, regulatory, and compliance requirements. Partner with Technology teams and business stakeholders to lead the delivery of data analytics solutions from start to finish, including data preparation (e.g., source, scrub, mine and integrate relevant data sources) and relevant data science work streams. Identify and lead proof of concept projects to test and adopt emerging data analytics tools and methods. Convert ideas and business needs into meaningful data analytics, work along with data requirements. Develop a standard process on defining data requirements, managing governance, creating data analytics solutions for use throughout the organization. Identify new approaches to complex design problems related to data science work products.

Bachelor’s Degree in Statistics, Mathematics, Operations Research, Data Science, Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math).

Masters’ degree in “STEM” preferred Minimum 10+ years of experience in IT with at least 5 years designing, developing, implementing and maintaining large-scale data science programs.

Minimum 10+ years of experience in leading multi-discipline technical teams; experienced in leading large global teams of both full time and contract employees.

Influential and proven leadership with the ability to partner, inspire, and build consensus.

Detailed-oriented planner who understands business drivers toward emerging data science solutions.

Experience leading large scale organizational change and successfully managing through business and process transformation in ambiguous environments.

Experience with data visualization tools such as Tableau, Qlikview, Microsoft, or SAS Visual Analytics on very large data sets.

Experience in one or more of the following: statistical modeling, predictive analytics, data mining, and machine learning.

Advanced query programming skills across multiple database environments, such as AWS Redshift, Oracle, SQL Server, Greenplum, and Hadoop.

Experience in metadata process, data lineage and traceability repositories and technologies.

Experience in wide range of Analytics, Data Science, Business Intelligence and Big Data technologies.

Experience in highly distributed complex business and technology environments and emerging technologies.

Experience with IT infrastructure, IT application technologies and frameworks.

Proven ability to execute high-profile projects and to provide thought leadership to an organization.

Working knowledge with data warehouse/mart design and implementation techniques.

Proven track record working with technical, customer, and functional teams.

Proven success in working globally in a global matrix organization across teams and cultures.

Strong communication and persuasion skills, including the ability to create messaging materials that meet stakeholder preferences, including ability to present concepts verbally.

Ability to work in a fast-paced, global environment with multiple priorities that require superior project management and decision-making capabilities.

Ability to establish mutually productive and positive relationships with internal and external stakeholders.

Ability to influence non-technical aspects of technology change (e.g. business and operational architectures).

Ability to break down complex requirements into meaningful, structured and actionable parts.

Ability to analyze complex organizational and technical issues related to technology and identifies opportunities to improve performance and efficiency Exposure to Hadoop or other big data and cloud computing technology is a plus

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.