Product Manager
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Wholesale Lending Services you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Make authoritative decisions on scope, requirements, assumptions, and delivery tradeoffs to maximize outcomes
- Define workflows, controls, and audit-ready traceability expectations within delivered solutions
- Partner with technology and governance stakeholders to align intent, constraints, and delivery approach
- Drive end-to-end integration thinking across platforms, vendors, and operational handoffs
- Own backlog refinement and readiness to enable releasable increments and predictable delivery
- Establish and monitor product metrics tied to quality, cycle time, and exception reduction
- Lead continuous improvement by reviewing performance, root causes, and control effectiveness
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Proven ability to translate operational complexity into clear requirements and defensible priorities
- Strong decision-making and ability to communicate rationale aligned to outcomes, risk posture, and feasibility
- Prior experience owning a backlog and defining outcomes in a regulated or control-focused environment
- Ability to operate effectively at the intersection of delivery, governance, controls, and auditability
- Skilled in driving clarity through ambiguity and shaping problems into actionable work
- Ability to define acceptance criteria that withstand operational scrutiny and fit the operating model
- Experience working across multiple systems and teams in integration-heavy, end-to-end workflows
- Strong stakeholder management, serving as the single source of truth for business intent and outcomes
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Experience partnering with risk, compliance, audit, or control functions to design traceable and testable controls
- Experience building and using product metrics to reduce exceptions and operational friction
- Experience delivering modernization in systems of record and integration-heavy landscapes
- Familiarity with scaled Agile delivery practices and regulated delivery governance
- Domain exposure to insurance operations or lender insurance processes
- Demonstrated ability to identify opportunities for AI and automation integration within operational workflows, including experience evaluating, implementing, or governing AI-driven solutions to achieve scalable process improvements and strategic objectives.