Senior Manager of Data Products

Jack Henry•Monett, MO

12h•Hybrid

About The Position

At Jack Henry, we’re more than a technology company, we’re a force for good in financial services. We’re redefining how community banks and credit unions connect with the people they serve. Our mission is rooted in people inspired innovation, empowering financial institutions to deliver seamless, secure, and human centered experiences. We deliver cutting-edge solutions that are paving the way for the next generation of digital banking and payments, but our true impact begins with our associates. If you're ready to help transform an industry and grow with a company that values purpose, collaboration, and excellence then we’d love to meet you. Are you excited by the opportunity to turn complex data into products that make a meaningful difference for financial institutions? As Senior Manager of Data Products, you’ll shape the vision and roadmap for Business Intelligence platforms, data science applications, APIs, and market-facing data solutions. You’ll bring together engineering, data science, UX, operations, and go-to-market teams to translate customer and business needs into scalable, high impact products from early discovery through launch and continued growth. This is a remote position and candidates must live within approximately a 70-mile radius of our office locations in Allen, TX; Charlotte, NC; Overland Park, KS; Springfield, MO; or Monett, MO; Louisville, KY; Cedar Falls, IA; or Birmingham, AL. All positions, regardless of location, may require an onsite interview or in-person onboarding requirement to verify your identity. This position is ineligible for immigration sponsorship and support. Please do not apply if at any time you will need immigration support now or in the future (i.e., H-1B, PERM).

Requirements

Minimum of 8 years of experience in software engineering, technical product management, data science, or product ownership.
Previous formal experience leading and managing teams.
Ability to communicate with executives and customers.

Nice To Haves

Ability to drive the strategy and success of large projects which contribute to multiple areas of the organization.
Strong knowledge of Business Intelligence data product suite roadmaps and backlog.
Ability to set priorities and work with product teams.
Working knowledge of data platforms, data products, and analytics offerings (Snowflake, Databricks, Azure/GCP/AWS).
Ability to gather requirements, run discovery, and explain roadmap tradeoffs to Financial Institution (FI) partners and internal partners.
Can plan work across teams: backlog cleanup, release order, dependencies, UAT/release support, and
Strong written communication skills, including product briefs, requirements, decision records, roadmap documentation, and status updates.
Ability to use Python for analysis, automation, or data/ML-related work.
Ability to identify customer needs, validate problems, gather feedback, and translate insights into product opportunities and requirements.

Responsibilities

Defines and communicates the product vision, problem statements, target user personas, business objectives, and success metrics for assigned data products.
Owns and prioritizes the product roadmap and backlog; evaluates trade-offs, sequences deliverables, and makes release/prioritization decisions aligned with business goals.
Authors comprehensive product documentation, including product briefs, decision records, release notes, and executive status updates.
Partners with UX, Business Analysis, Architecture, and Data Science teams to translate business requirements into user stories, technical specs, and APIs.
Facilitates sprint planning, backlog grooming, retrospectives, and risk/blocker mitigation in collaboration with engineering leadership.
Drives User Acceptance Testing (UAT), verifies acceptance criteria, and oversees go-live readiness and post-release enhancements.
Serves as a primary liaison to clients, financial institution partners, and internal executives to present roadmap progress, product concepts, and strategic priorities.
Articulates the value proposition of the company's data suite against custom cloud data builds (e.g., Snowflake, Databricks, AWS, Azure, GCP).
Manages cross-functional trade-off discussions across engineering, architecture, governance, and commercial teams to maintain organizational alignment.
Leads cross-organizational coordination to support data harvesting and integration across product lines in alignment with enterprise data strategy.
Works on issues where analysis of situations or data requires conceptual thinking and an in-depth knowledge of organizational objectives.
Collaborates with go-to-market and operations teams to establish operational readiness, customer support models, and launch strategies for data products.
May perform other job duties as assigned.