Report Automation Lead

    • Jersey City, NJ


Job Summary:

The Advanced Analytics Lead will provide thought leadership on applying the advanced analytics methods using 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 other business leaders throughout the organization to create a federated advanced analytics function, facilitating the development of advanced analytics solutions using consistent data definitions governed by OCDO. Major Responsibilities: Develop and maintain consultative relationships with key business stakeholders, proactively identifying and addressing advanced analytics needs to meet business, regulatory and compliance requirements Lead data preparation work (e.g., source, scrub, mine and integrate relevant data sources) to support the delivery of advanced analytics solutions Lead proof of concept projects to test and adopt emerging advanced analytics tools and methods Convert ideas and business needs into meaningful advanced analytics solutions Develop a standard process on defining data requirements, managing governance, creating advanced analytics solutions for use throughout the organization Identify new approaches to complex design problems related to advanced analytics Establish a model maintenance strategy and curate predictive models over time Develop and design presentations, reports, and other deliverables to communicate findings and make recommendations

-Bachelor's Degree in Statistics, Operations Research, Data Science, Computer Science or in "STEM" Majors (Science, Technology, Engineering and Math).

-Masters' degree or Ph.D. degree in "STEM" preferred

-Minimum 10+ years of experience in designing, developing, implementing and maintaining large-scale advanced analytics solutions

-Minimum 10+ years of experience in leading multi-discipline technical teams with hands-one experience 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 advanced analytics technology solutions

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

-Experience analyzing large structured and unstructured data sets using statistical analysis software, such as SAS, SAS Enterprise Miner, Python or R to develop advanced analytics solutions

-Experience in wide range of Advanced 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 coach and motivate teams

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.

We are proud to be an Equal Opportunity / Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category.

A conviction is not an absolute bar to employment. Factors such as the age of the offense, evidence of rehabilitation, seriousness of violation, and job relatedness are considered in all employment decisions. Additionally, it's the bank's policy to only inquire into a candidate's criminal history after an offer has been made. Federal law prohibits banks from employing individuals who have been convicted of, or received a pretrial diversion for, certain offenses.

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