Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Product Manager role.

Rezi rewrites your resume against PowerPlan, Inc's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Product Manager posting at PowerPlan, Inc — free, in seconds.

About the Role

This strategic technical role on the Platform Team leads the development of PowerPlan's common cloud platform, NXT, and its shared capabilities. The individual will define the long-term data strategy for the Data Hub product and the platform's overall data access strategy, owning the technical direction of Data Hub and shaping data flow across all NXT products, including preparation for AI-driven use cases. The role involves daily engagement with Scrum teams, customer calls, and handling escalations, requiring close collaboration with Development Leads, Architects, Design, and Services and Operations teams, while staying current with AI's impact on product data needs and management.

Responsibilities

Takes on long-term product ownership of Data Hub, building a technical roadmap in the first 30-90 days in consultation with Development, Cloud, and Architecture, and carrying that roadmap forward into ongoing platform optimization and scaling.
Establishes Data Hub as a durable, forward-looking foundation for the platform's data layer, reducing risk as usage and scale grow.
Reframes the data layer as a customer-facing value-add that enables reporting, analytics, and AI-driven use cases.
Builds and owns the technical roadmap for Data Hub in partnership with Development, Cloud, and Architecture leads.
Prioritizes investment against optimization and scaling needs as adoption grows.
Manages dependencies across simultaneous roadmap efforts.
Stays embedded in the Scrum team's daily standups and sprint ceremonies as a working participant.
Takes point on escalations from active projects or production customers when product needs to get involved.
Defines and drives product requirements, planning, and UX decisions for the NXT platform's shared capabilities — including APIs, adapters, and reporting and security layers.
Documents the rationale behind decisions for shared capabilities so they're repeatable and trackable across teams.
Reduces duplicate engineering effort across product teams.
Keeps decisions maintainable for both internal engineering and customer-facing operations.
Provides impacted teams a reliable, repeatable reference instead of relying on institutional memory.
Gives customers a consistent, integrated user experience.
Makes it easier for customers to access data in the platform.
Partners with Development Leads, Architects, and Design to evaluate build-versus-reuse tradeoffs for each shared component.
Defines policies for tracking decisions and communicating them to impacted teams.
Manages dependencies across simultaneous shared projects which may have competing priorities.
Defines how platform data — including Data Hub and beyond — is structured and exposed to support emerging AI-driven use cases across PowerPlan's products.
Uses hands-on big-data tooling such as Databricks to make data readiness real.
Positions PowerPlan's data layer as a forward-looking, AI-ready foundation.
Works with Development, Cloud, and Architecture to assess current data structures against AI and machine learning consumption needs.
Applies hands-on experience with Databricks or equivalent big-data tooling and modern data architecture.
Partners with Data Hub and platform teams to close gaps.
Uses AI tools to speed up research, roadmap work, and product reviews in coordination with how AI is used across our software development lifecycle.
Stays current on how AI is reshaping the product management and engineering disciplines.
Improves the speed and quality of personal product decisions.
Models a practice other product managers can adopt as AI tooling matures.
Incorporates AI tools into day-to-day product management workflows — research synthesis, competitive analysis, roadmap drafting, and reviewing engineering output.
Continuously evaluates new AI-driven product management and engineering practices as they emerge.
Identifies new product opportunities for NXT expansion, with a primary lens on improving platform data access.
Informs new product identification by customer and industry research and by emerging AI-driven data use cases.
Gives customers easier, more unified access to their data across the NXT platform.
Builds a pipeline of expansion opportunities rooted in real data-access needs.
Leads and participates in customer and industry research to surface platform data-access gaps.
Works with Development and Architecture to scope how new capabilities would fit the platform.
Brings forward NXT expansion opportunities with a lighter-weight business case.

Requirements

7-10 years of enterprise software product management experience, with a track record of increasing responsibility.
Proven experience owning Data Hub or comparable core data infrastructure, including technical improvement planning in partnership with Development, Cloud, and Architecture.
Real, hands-on experience with big data tooling — Databricks or equivalent — and modern data architecture, with comfort positioning data for AI-driven and machine learning use cases.
Comfort using AI tools in your own product management practice — research synthesis, competitive analysis, roadmap drafting — and staying current on how AI is reshaping the discipline.
Experience driving requirements and planning for shared platform capabilities — APIs, adapters, and reporting or security layers — used across multiple product teams, and documenting decisions so they're repeatable.
Comfort operating at a strategic, trusted-advisor level with leadership while also staying hands-on with execution.
Comfort operating within a Scrum framework — daily standups, sprint ceremonies, and ongoing refinement — as a normal part of the role.
Comfort fielding customer calls for discovery and production escalations when a project or customer needs product involved, not just setting strategy from a distance.
Strong cross-functional collaboration skills, with experience partnering closely with Development, Architecture, Design, Cloud, and Services/Operations teams.
A former software engineer or cloud engineer background is a real plus — hands-on experience writing code or running cloud systems, not just familiarity with engineering concepts.
Excellent, persuasive written and verbal communication, including the executive presence to represent platform strategy to leadership.

Skills

Data Hub
Cloud platform development
NXT platform
Shared capabilities
Data strategy
Data access strategy
APIs
Adapters
Reporting
Security layers
AI-driven use cases
Big data tooling
Databricks
Modern data architecture
Machine learning
Scrum framework
Product management
Cross-functional collaboration
Software engineering
Cloud engineering
Written communication
Verbal communication
Executive presence

Location

Hybrid

Work Type

Hybrid
Onsite
Work from home

Experience Level

7-10 years of enterprise software product management experience
Increasing responsibility

About the Company

Builds a SaaS platform that helps enterprise finance, tax, and asset management teams manage complex regulatory and accounting requirements.
Transitioning that core platform to the cloud through the NXT initiative.
The Platform Team sits at the center of that transition, building the shared components, APIs, and data infrastructure that every other product team depends on.
Operates through tight, ongoing collaboration across engineering, architecture, design, and operations.
Shaping how the platform prepares and exposes data for AI-driven consumption.
An environment where deep technical ownership and cross-functional relationships go hand in hand, especially as the product suite scales.

Equal Opportunity

PowerPlan is an EOE
Applicant and Candidate Privacy Notice