Senior Manager, Analytics AI Enablement

🕒 May 22

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $157k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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First Help Financial

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

🏦 Banking

💳 Fintech

Finance • Banking • Fintech

First Help Financial is an innovative and fast-growing auto finance company that has been serving customers with limited access to financial services for over a decade. The company focuses on providing fairly priced auto loans to consumers who are typically overlooked or mispriced by traditional financial institutions. Dedicated to a mission-driven approach, First Help Financial values culture, diversity, collaboration, and impeccable customer service, working closely with communities to support financial success and understanding. They offer multilingual customer support from application to payoff, ensuring a partnership for customer financial success.

📋 Description

• Partner with Analytics/Insights leaders to identify, size, and prioritize AI-assisted analytics opportunities (e.g., faster analysis, improved forecasting, automated anomaly detection, and narrative insights). • Own the roadmap for AI adoption within the analytics function, including milestones, dependencies, governance checkpoints, and measurable outcomes. • Establish an analytics use-case intake process and success metrics to track accuracy/quality, time-to-insight, stakeholder adoption, and incremental insight lift. • Partner with Data Engineering to deliver analytics-ready datasets (structured and unstructured) with strong quality, lineage, and documentation to support trusted analysis. • Develop and govern the Cortex Intelligence semantic layer to standardize entities, dimensions, metrics, and business logic for consistent reporting and AI-assisted insights. • Lead cross-functional delivery (within Analytics and with Data Engineering) for prioritized AI analytics use cases from requirements through launch and iteration (e.g., insight copilots, automated commentary, root-cause exploration, and anomaly detection). • Drive adoption through enablement (training, office hours, playbooks) and implement safe-response standards for analytics outputs (approved sources, citations as needed, confidence thresholds, and human review/escalation). • Enable AI/ML for analytical modeling (segmentation, forecasting, propensity/response, experimentation support) with performance monitoring, documentation, and governance.

🎯 Requirements

• Bachelor’s degree in computer science, data science, statistics, economics, or a quantitative field. • 10+ years across analytics/data/AI, including 3+ years leading cross-functional analytics programs. • Strong SQL and Python (or similar) and experience enabling analytics consumption via governed semantic layers/metric definitions; comfortable with structured and unstructured data. • Experience building analytics products (dashboards, KPI frameworks, experimentation readouts) and using AI to accelerate analysis, insight generation, and storytelling. • Executive communication and stakeholder management; translating analytical and AI concepts into clear decisions and roadmaps. • Proven change in leadership and adoption enablement (training, governance) delivering measurable improvements in time-to-insight, decision quality, or risk management.

🏖️ Benefits

• Great Perks – We offer generous salaries, social activities, monthly lunches, and a robust employee recognition and talent development program to enhance your career with us. • Culture - We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself. • Growth - Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in *you*.