Sr. Product Manager, Data (MANTL)

Alkami Technology•Bentonville, AR

49d•Remote

About The Position

Alkami is a leading cloud-based digital banking solutions provider for financial institutions in the United States that helps clients to transform through retail and business banking, digital account opening and loan origination, payment fraud prevention, and data analytics and engagement solutions. Alkami’s Mobile App Platform has been certified by J.D. Power for providing clients with “An Outstanding Mobile Banking Platform Experience.” Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). Through our bold investments in technology and people, we empower our clients to grow confidently, adapt quickly, and build thriving digital banking communities through tailored experiences for over 19.5M users. As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title. Follow us on Glassdoor and Linkedin! We are looking for a highly motivated Product Manager (Data Products) to lead the development and growth of MANTL’s data product offerings. This role will focus on driving the evolution of our reports, dashboards, and data access tools, such as DirectSQL, which provide valuable insights to financial institutions. Additionally, this person will explore opportunities to enhance data integration experiences via our admin console and leverage AI/ML technologies across our products. This is a high-impact role, essential to our mission of delivering exceptional data-driven insights and solutions to our customers.

Requirements

4-8 years of product management experience, preferably with a focus on data products or analytics platforms.
Prior experience in fintech, SaaS, or data-heavy environments, ideally working with or at financial institutions.
Strong collaboration experience with data engineering, BI teams, and business analysts.
Working knowledge of SQL
Knowledge of BI tools (e.g., Looker, Tableau, Power BI) and data pipelines (ETL/ELT processes).
Familiarity with data governance, privacy, and security standards (e.g., GDPR, SOC).
Comfortable with AI/ML concepts and identifying opportunities for innovative applications.
Strong understanding of agile methodologies and the product development lifecycle (PDLC).
Excellent problem-solving skills with the ability to simplify complexity and provide clear direction.
Exceptional communication and collaboration skills to engage stakeholders across functions.
A customer-first mentality with a passion for delivering exceptional user experiences.

Responsibilities

Product Ownership: Develop and execute a product strategy for data products that aligns with MANTL’s business objectives. Manage the product lifecycle from concept to launch, ensuring continued growth and adoption. Own the evolution of analytics dashboards, reports, and other key data tools used by financial institutions to track performance.
Customer-Centric Development: Collaborate with customers, business analysts, and internal stakeholders to identify use cases and pain points.
Lead efforts to enhance self-service capabilities through data access products. Explore opportunities to enhance data integrations through UI improvements within the admin console.
AI & Data Integration Innovation: Identify and develop practical AI/ML applications that complement our data products. Work closely with engineering to ensure seamless integration of APIs and data flows.
Cross-Functional Collaboration: Partner with data engineering and BI teams to ensure alignment on data infrastructure needs. Collaborate with design, product, and development teams to enhance the usability and functionality of data tools. Drive cross-functional initiatives to align product efforts with business priorities and customer needs.
Metrics & Performance Management: Define key success metrics and monitor product performance to make data-driven decisions. Use customer feedback and performance data to iterate and improve product offerings continuously.