Director of Decision Sciences for Home Lending Marketing and Sales

Job Description

About Chase:

Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.4 trillion and operations worldwide. Chase serves nearly half of America’s households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com.

CCB Data & Analytics:

The CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science and machine learning, and are actively engaged in ensuring impact at the front-line and the customer through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting edge data and analytics infrastructure. Joining CCB Data & Analytics means you sit in the engine that powers Chase with insights, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth.

The Role :

The Director of Decision Sciences for Home Lending Marketing and Sales will be responsible for the strategy and optimization of targeted marketing within Home Lending, primarily focused on digital channels, and the automation of marketing campaigns to realize business efficiencies using state of the art decisioning engines.

Developing strong relationships with business partners, leading marketing impact/results discussions, and proactively identifying information needs within Home Lending will be essential in this position.

This role will report directly to the Head of Home Lending Decision Sciences, and work cross-functionally with stakeholders in Home Lending, CCB Data and Analytics, CCB Technology and second line functions, including Control and Risk.

Core Competencies/Key Priorities:

• Exceptional Analytical acumen and demonstrated ability to advance thinking to “best in class”, with a mindset for being customer-obsessed and driving effectiveness
• Experience embedding data science with campaign analytics to drive collaboration
• Business acumen in marketing analytics, third party data assets and the processes of sales cycle specific to Home Lending
• Leadership and presence to engage with the highest levels of management at JPMorgan Chase
• Ability to lead a complex organization supporting a broader matrix structure
• Proven record of innovation and thoughtful risk-taking
• Appreciation for controlled execution and applicable regulatory requirements
• Ability to concisely articulate complex information in both verbal and written form
• Strong interpersonal skills to both partner with and influence stakeholders

Principal Duties & Responsibilities:

• Develop roadmap of advanced analytics and MIS to support achievement of Home Lending Marketing and Sales objectives within digital channels
• Define and deliver analytical insights based on large volumes of data with strong storytelling to solve business problems with tangible outcomes
• Define content and build analytics to enable direct delivery mechanisms, automation and value added tools and services for clients
• Manage programs of work to help automate processes within the business and lead transformation initiatives

Experience Requirements:

• 8-10 years of experience in the field of analytically driven marketing
• Proven experience leading teams with a focus on analytics and MIS
• Experience within a digital footprint to shape the future business needs
• In-depth understanding of a sales pipeline and the role of Marketing and Sales
• Proven experience with emerging technologies related to insights (e.g., Big Data, next generation analytics and Business Intelligence tools)
• In-depth understanding of large organization culture and how to navigate the various matrixed environments to achieve objectives
• Synthesizing data and analyses to streamlined, simplistic messages
• Demonstrated experience in developing business plans, identifying opportunities, structuring goals to achieve objectives, structured problem solving and analytical skills

Skill Requirements:

• Strong management and leadership skills, including demonstrated success leading organization through significant change to achieve results
• Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and action toward common goals
• Ability to build trust-based relationships
• Proven strategic thinking and creative problem solving skills with ability to translate strategy into tactical plans
• Executive presence and presentation skills
• Strong written and oral communication skills
• Results oriented and thrive in a fast paced environment with high expectations
• Ability to attract, develop and retain talent in the field of advanced analytics

Analytical and Technical Skill Requirements:

• Strong aptitude for technical concepts and ideas
• Experience with customer-centric design, marketing processes or consumer behavior modeling
• Experience with dynamic and interactive visualization/reporting applications such as Tableau
• Proficient in standard data mining and analytical methods
• Excellent understanding of experimental design, A/B and multivariate testing
• Experience managing a team of analysts who use data analysis languages such as Python, SAS, Java, R, JavaScript, C++ or Scala
• Experience with Big Data platforms such as Hadoop, Hive, Impala or Spark
• Experience with relational databases

digital , "marketing automation" , Midas , analysis , analytics , "Digital channel" , "big data" , "business Intelligence" , Hadoop , marketing