Assured

Data Scientist

• Design models and systems that help automate and optimize claims handling, including; Liability prediction, Fraud detection, Document & image understanding.
• Partner with product and engineering teams to translate claims workflows into ML solutions
• Prototype production-ready models and data pipelines
• Dive deep on early stage products to scale product market fit
• Help shape the data science roadmap and architecture across Assured’s platform

Data Analyst

• Bridge business and data: Connect customers, Product, Sales, and Client Engagement, translating business needs into clear, measurable analytics.
• Own the flow of insight: Lead requirements gathering, reporting alignment, and data storytelling to ensure analytics drive strategy.
• Spot trends and tell the story: Surface patterns, gaps, and “what changed?” moments in customer data—and drive investigations to resolution.
• Be the analytics voice in the room: Represent Product Analytics in key client and partner calls, turning feedback into actionable insights.
• Deliver clarity through data: Collaborate with analysts to build dashboards and metrics that answer priority business questions.
• Lead proactive discovery: Explore customer behavior, pilots, and trends to inform product and go-to-market strategies.
• Champion customer-facing insights: Support initiatives like engagement portals and reporting, translating data into clear, compelling stories.
• Elevate the craft: Partner with the Product Analytics team to ensure consistent, high-quality, and impactful outputs.

Lead Data Analyst, Customer Insights

Director

• Own a rotating portfolio of the company’s highest-visibility projects across strategy, operations, finance, and growth
• Drive strategic initiatives – Lead end-to-end execution of CEO and leadership priorities, from framing and analysis through implementation and accountability
• Act as a force multiplier – Step into high-need gaps with no clear owner and bring structure, momentum, and clarity
• Prepare executive-level materials – Build strategic memos and internal communications that are clear, concise, and compelling
• Structure complex problems – Apply rigorous analytical frameworks to ambiguous business questions, combining data and qualitative insight into actionable recommendations
• Lead cross-functional programs – Coordinate work across Product, Engineering, Sales, Finance, and Legal on initiatives that don’t sit neatly within one team

Director of Special Projects

Product Manager

• Own the Data & Integrations Vision
• Build a Scalable API & Data Platform
• Work Directly with Customers & Partners
• Own Data Flow & Reliability
• Measure What Matters
• Build with Trust & Compliance
• Enable the Organization

Product Lead – Data & Integrations

• Help define the product vision and roadmap for extending Assured’s claims platform across multiple P&C Lines of Business. You’ll operate with high ownership in ambiguous spaces, clearly communicating assumptions and tradeoffs while aligning early and often with partners.
• Partner deeply with customers, claims leaders, sales, and implementation teams to understand nuanced workflows, regulatory requirements, and operational differences across lines of business. You’ll co-create solutions that integrate diverse perspectives and make stakeholders feel heard and empowered.
• Work closely with engineering and design to evolve reusable platform capabilities. You’ll balance speed with strategy, knowing when to move fast to unlock learning and when to slow down to avoid long-term rework or fragmentation.
• Use analytics, customer insights, and operational metrics to define hypotheses, measure impact, and guide prioritization, making progress even when data is imperfect and avoiding analysis paralysis.
• Lead complex decisions around standardization vs. specialization across lines of business. You’ll distinguish between reversible and irreversible decisions, apply sound judgment under pressure, and adjust course quickly as new information emerges.

Principal Product Manager, LOB

• Define and own the product strategy and roadmap for liability determination products, aligning customer needs, regulatory requirements, and business outcomes.
• Design product solutions for liability determination, including evaluating fault across multi-party accidents, incorporating evidence such as statements, photos, diagrams, police reports, and third-party data, handling partial, disputed, or evolving information, and supporting jurisdiction-specific rules and comparative negligence models.
• Lead the full product lifecycle, from discovery and problem framing through delivery, iteration, and scale—particularly for products that encode complex logic, judgment, and edge cases.
• Partner closely with engineering, data, design, and claims experts to translate real-world liability workflows into scalable, intuitive product experiences.
• Use data, experimentation, and feedback loops to improve decision quality, consistency, speed, and explainability over time.
• Build systems that balance automation and human judgment, including decision-support tools, rules engines, and human-in-the-loop workflows.
• Create clarity in ambiguity, communicating complex liability logic, tradeoffs, and confidence levels to both internal stakeholders and end users.
• Ensure decisions are defensible and explainable, supporting auditability, regulatory review, and customer trust.

Data Scientist

Lead Data Analyst, Customer Insights

Director of Special Projects

Product Lead – Data & Integrations

Principal Product Manager, LOB

Staff Product Manager – Liability