Overview
Lead the product vision, roadmap and delivery of AI-powered finance technology products that turn enterprise financial data into faster, data-driven decisions.
What you'll do
- Define and own the product vision, roadmap, and success measures for AI-enabled finance technology products across financial management, predictive modelling, insight generation, and anomaly detection.
- Partner with Finance, Accounting, Product and Technology teams to identify high-value business problems and convert them into prioritised product outcomes, requirements, and delivery plans.
- Lead cross-functional delivery of digital products and intelligence capabilities, ensuring solutions use modern data, cloud, analytics, and AI technologies to create measurable business value.
- Translate complex financial data, trends, risks, and opportunities into user-centred products that support faster and more informed decision-making for business leaders.
- Manage stakeholder alignment across senior business and technology audiences, influencing strategy, resolving competing priorities, and maintaining clear communication on progress and outcomes.
- Monitor product performance using agreed metrics, user feedback, and business impact measures to continuously improve adoption, usability, and time from insight to action.
What you'll need
- Minimum 5 years' experience in Digital Product Management, leading platform or data products, from discovery through delivery and adoption.
- Evidence of delivering strategic transformation initiatives that used data, cloud, analytics, automation, or AI technologies to improve business outcomes.
- Strong Finance, Accounting, Data, Analytics, or enterprise technology domain experience, with the ability to translate complex business problems into product roadmaps and measurable outcomes.
- Experience working with senior business and technology stakeholders to prioritise product backlogs, influence decisions, and deliver outcomes across cross-functional teams.
- Ability to define product success measures and use data, user feedback, and performance indicators to assess value, adoption, and continuous improvement.
Nice to have
- Experience delivering AI-powered, machine learning, predictive analytics, or automated insight products within Finance, Accounting, Risk, or enterprise data environments.
- Knowledge of financial performance management, forecasting, scenario modelling, financial controls, or anomaly detection use cases.
- Experience with agile product delivery practices including discovery, roadmap planning, user story definition, backlog management, and iterative release planning.
- Exposure to enterprise data platforms, cloud-based analytics environments, business intelligence solutions, or data governance considerations.
- Product management certification, agile certification, or relevant qualification in business, finance, data, technology, or product management.
Details
- Work mode: Remote (US).
- No supervisory responsibilities.
- Job posting end date: 6 October 2026.
- Allstate generally does not sponsor individuals for employment-based visas for this position.
- Successful candidates will be required to submit to a background investigation.
Read the full description and apply on the company’s own careers page.