Digital Reporting Sr. Product Manager - Payments - Vice President
jpmc-dev6.fa.oraclecloud.com/CX Digital Reporting Sr. Product Manager - Payments - Vice President
The Acquiring Data & Analytics Platform Product Manager is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs typically are product insights that drive optimization of payments, funding, reporting channels, servicing, boarding, disputes, and network integrations. As the analytics mature, these insights can be productized into data insights products (“insights as a service”). The right candidate for this position is highly proficient with complex data sets, using modern statistical and data exploration as well as visualization techniques (especially SQL on Snowflake, Tableau, Python, and Alteryx). The role will require working on multiple projects simultaneously. The ideal candidate will possess strong data analytical skills along with exceptional leadership, client and relationship management skills. Must have proven successes in balancing long term strategic vision with the ability to create, practical, actionable plans that are coherent and understood by all stakeholders. Beyond excellent analytical skills, the ideal candidate will be innovative, commercially inclined to create genuine business value through the alignment of technology, data and business interests. Ideal for high caliber analytics talent with a strong affinity for payments innovation and big data technology affinity.
Principal Duties & Responsibilities
- Develop and plan required analytic projects in response to Merchant Services – Product Platform strategy and roadmap
- Execute analytical projects as an individual contributor
- Focus on delivering actionable recommendations to merchants on how to optimize their payment performance (authorizations, charge backs, cost of payments)
- Work on cross LOB projects to provide insights on new product offerings that can maximize growth opportunities.
- Deliver deep, actionable consumer insights that support merchant’s growth agenda
- Develop visualizations of analytics insights in Tableau (for consumption of relevant stakeholders)
- Contribute to “productization” analytical insights in collaboration with cross-functional teams
- Develop new analytical modeling methods and/or tools as required
- Work with business domain experts and application developers to identify data relevant for analysis
- Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
- In conjunction with data owners and department managers, contribute to the development of data models for analytics
- Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
- Apply quality assurance best practices for analytics services
- Adhere to change control and testing processes for modifications to analytical models
Qualifications:
Experience
- 5+ years of working in large and medium project teams, as a contributing member in self-directed roles
- Bachelor’s Degree in Business Analytics, Finance, Computer Science, Mathematics or related field of study; Advance Degree preferred
- Expertise in data mining, quantitative research techniques, theories, principles, and practices
- Experience in the payments industry and/or technology-enabled industries
- In-depth understanding of the payments value chain (merchants, brands, acquirers, networks, issuers) and associated data assets - or in-depth understanding of consumer insights
- Deep experience across the full range of database and business intelligence tools (especially SQL on Snowflake, Alteryx, Tableau); publishing and presenting information in an engaging way
- Ability for rapid prototyping in Tableau
- Data Science experience in R, Python is a plus
- Intensive, recent experience in assessing and sourcing data needs
- Strong familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation, variable selection, etc.Detailed orientation and a commitment to innovation
Skill Requirements
- Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
- Ability to build trust-based relationships
- Strong aptitude for technical concepts and ideas
- Ability to work well within deadlines
- Executive presence and presentation skills
- Strong written and oral communication skills
- Understanding “deep data” environments, ideally with a Merchant mindset
- High achievement orientation with ability to lead and motivate others around results