Consumer Banking Sr Product Owner

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people’s success today and tomorrow.

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries.

Equally important, they bring commitment investing the time and resources to understand our clients’ immediate needs, identify market opportunities and meet long-term objectives.

At Texas Capital, we do more than build business success. We build long-lasting relationships.

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to ’ Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate’s 2023 list of Best Regional Banks.

For more information about joining our team, please visit us at .

The Senior Product Owner will play a critical role in the development and maintenance of several key data products and analytical functions across marketing, fraud, retail banking, and customer segmentation.

The role requires the ability to manage key data products across various business domains, analyze data from many disparate sources and distill into a cohesive business insight.

The Product Owner will work with various stakeholders to deliver actionable insights and must be able to communicate technical concepts clearly in non-technical terms.

Responsibilities

Seasoned analytics lead who is passionate about using data to drive customer-centered improvements and innovation.

Develop roadmap of customer analytics projects based on the needs of cross-functional partners.

Partner with business team to develop data products, analytic solutions, ad-hoc analysis, and modeling to drive new initiatives, improve business processes and deliver value using data-driven decisions.

Support multiple aspects of consumer analytics, including fraud analytics, marketing analytics, and customer segmentation.

Support synthesizing data into actionable insights and recommendations for the business team.

Perform quantitative and statistical analysis on large and complex datasets to extract key insights.

Prepare communication materials and technical documentation, including methodology descriptions consistent with regulatory guidance.

Develop cross-functional relationships - coordinate with the IT groups, business intelligence, and data governance functions.

Provide data science and modeling expertise to others involved in designing business strategies and solutions.

Qualifications

7+ years' experience working in an analytical role for a fast-paced organization

Bachelor’s degree from an accredited college or university with courses in finance, accounting, statistics, computer science, information systems, mathematics, or other quantitative sciences.

Master’s degree preferred).

A solutions-oriented mentality with a data driven approach

Proficiency with SQL, Python or R and the associated analytics packages.

Proficiency in MS Office, especially MS Excel, Word, PowerPoint.

A demonstrated ability as an independent thinker with strong analytical, problem solving, technical, attention to detail, communication capabilities, and ability to handle multiple projects.

Proven record of strong work ethics with a commitment to transparency, accountability, and collaborative work.

Ability to collaborate effectively and follow up to ensure achievement of deadlines, outcomes, and results.

Ability to communicate appropriately and effectively with all organization members and effectively present complex information verbally and in writing within and across the team.

Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.

Experience with statistical modeling or working with data scientists preferred