Product Manager - Finance

Coherent•New York, NY

1d•Hybrid

About The Position

We are looking for a senior Product Manager to lead Coherent’s Finance and Governance solutions across Spark, Insights and Control. This role focuses on how large financial institutions and insurers run their most critical finance processes - from capital modelling and regulatory reporting to FP&A, treasury and operational controls. Many of these processes are powered by complex spreadsheets. Coherent transforms those models into governed, scalable, API-enabled services with workflow, auditability and control built in. You will define and own the product strategy for how our platform serves finance, risk and control teams in enterprise environments. This is not a single-product role. You will shape how each pillar of our platform comes together into a unified finance solution.

Requirements

8+ years Product Management experience in enterprise software
Strong exposure to financial services or insurance finance functions
Deep understanding of: - Financial controls environments - Regulatory reporting processes - Spreadsheet risk and EUC governance - Model validation and audit requirements
Experience building workflow-driven or governance-centric products
Comfortable engaging senior finance and risk stakeholders
Data-driven and outcome-oriented
Experience in agile, high-growth SaaS environments

Responsibilities

Define the product vision for finance-led use cases (regulatory reporting, capital & liquidity modelling, forecasting, controls automation, etc.)
Own the roadmap for finance and governance capabilities across the platform
Translate real-world finance processes into scalable product features (e.g. approvals, validation, version control, segregation of duties, audit trails)
Develop and deliver product features based on client feedback and data-driven trends
Shape Control as a workflow and governance layer for critical finance processes
Partner with Sales, Marketing and Customer Success teams to refine messaging and positioning in the US market
Define success metrics tied to risk reduction, process efficiency and compliance coverage for clients
Work closely with engineering to ensure we build platform capabilities, not bespoke solutions
Identify opportunities for AI-driven model validation, anomaly detection and process monitoring