FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Digital Product Management with a focus on AI-powered finance technology products, leveraging data, cloud, and analytics to drive strategic transformation and measurable business outcomes. Proficient in stakeholder management and translating complex financial data into actionable insights for informed decision-making.
Highest-signal resume keywords
Digital Product ManagementAI-Powered Finance TechnologyData AnalyticsAgile Product DeliveryStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Roadmap DevelopmentPredictive AnalyticsAutomated Insight GenerationRisk IdentificationTrend AnalysisAnomaly DetectionFinancial Performance ManagementScenario ModellingBacklog ManagementUser Story Definition
Soft Skills
Influencing StrategyCross-Functional CollaborationCommunication
Tools & Technologies
Cloud-Based AnalyticsBusiness Intelligence SolutionsEnterprise Data Platforms
Certifications & Qualifications
Product Management CertificationAgile Certification
Industry Keywords
FinanceAccountingData GovernanceDigital TransformationEnterprise Technology
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define and own the product vision, roadmap, and success measures for AI-enabled finance technology products
- 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 using modern data, cloud, analytics, and AI technologies
- Translate complex financial data, trends, risks, and opportunities into user-centred products supporting faster and more informed decision-making
- Manage stakeholder alignment across senior business and technology audiences, influence strategy, resolve competing priorities, and communicate progress and outcomes
- Monitor product performance using metrics, user feedback, and business impact measures to improve adoption, usability, and time from insight to action
- Create AI-powered finance technology products that transform enterprise financial data into actionable insights, including predictive modelling, trend analysis, risk identification, automated insight generation, and anomaly detection
- No supervisory responsibilities
Requirements
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 using data, cloud, analytics, automation, or AI technologies to improve business outcomes
- Strong Finance, Accounting, Data, Analytics, or enterprise technology domain experience
- 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
- 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 is desirable
- Successful candidate must submit to a background investigation
- Generally, Allstate does not sponsor individuals for employment-based visas for this position
- Dedicated, private workspace and appropriate desk and seating when working from home
- Reliable internet with minimum speeds of 50 MB download and 5 MB upload
Benefits
Comp & perks- Comprehensive technology setup including a laptop, monitors, headset, keyboard, and mouse
- Monthly connectivity reimbursement for employees eligible to work from home
- Opportunity to participate in meaningful causes and make a meaningful impact
- Company equal employment opportunity and anti-discrimination policies