Director of Data and AI at Origami Risk Ltd

, , United States -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

222000.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, Analytics, Machine Learning, AWS, Databricks, ThoughtSpot, SQL, Python, AI Compliance, Data Governance, Stakeholder Engagement, Team Management, Product Innovation, Cloud-Native Solutions, Data Observability

Industry

Software Development

Description

Overview The Director of Data & AI is a hands-on, strategic leader responsible for evolving Origami Risk’s data and AI capabilities to drive innovation, scale, and business value. This person defines and delivers the unified vision for data architecture, AI enablement, and analytics strategy — ensuring our platform remains competitive, insightful, and compliant in a rapidly changing digital landscape. Starting base pay for this role is between $175,000 and $222,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states). Responsibilities Strategic Leadership Defines and owns the vision and roadmap for a unified data and AI strategy that supports business growth, customer insights, operational efficiency, and product innovation. Conducts a full audit of the current data landscape (including sources, pipelines, and storage) to inform future-state architecture. Leads the development of a cloud-native data lake house on AWS, leveraging Databricks for storage, transformation, and ML workloads. Maintains a pulse on industry innovation and champion emerging technologies to position Origami as a leader in data and AI. Data Governance & Architecture Improves data observability, lineage, quality, and governance practices to increase trust, reuse, and regulatory readiness. Works cross-functionally to establish data policies, metadata standards, and stewardship practices aligned with internal and external compliance requirements. AI Strategy & Enablement Drives the democratization of AI by embedding capabilities (e.g., summarization, predictive insights, workflow automation) across the platform for both end-users and administrators. Establishes an internal AI enablement platform with APIs, tooling, and guardrails for standardized access to public LLMs and foundational models. Oversees the prompt engineering and evaluation framework, including testing, versioning, and optimization across multiple user flows. Develops a transparent AI usage and monetization model, including automated tracking for token usage, billing, and overages. Analytics & Adoption Expands self-service analytics capabilities through ThoughtSpot, enabling teams and clients to generate insights from governed datasets. Partners with Product, Engineering, and Product Marketing teams to achieve and track adoption of AI features, with a target of 50% usage across the customer base. Works closely with internal stakeholders to identify value-driving metrics and communicate data and AI impact across the organization. Innovation & Commercialization Identifies commercial opportunities across datasets and customer segments by developing data-driven and AI-enhanced product features. Leads the acceleration of white-labeled AI capabilities, including assessments of external partnerships and vendors to expand feature sets. Communication & Leadership Articulates the value of data and AI to executive leadership, internal stakeholders, and clients. Manages and mentor a team of data engineers and ML/AI/Prompt engineers. This includes completing all team member review and compensation processes. Collaborates closely with architects and product teams to embed data and AI capabilities into the platform’s core. Other Duties as Assigned Qualifications Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field required. Master’s degree preferred. 5+ years in a data and/or AI leadership role (Data Architecture, Data Engineering, Analytics, Machine Learning, etc.). Experience in a SaaS B2B environment strongly preferred. Prior experience commercializing data and AI into scalable, productized features. Hands-on experience with: AWS for data and compute infrastructure Databricks for lake house architecture and ML workflows ThoughtSpot or comparable analytics platforms SQL, Python, and relevant AI/LLM tooling Experience managing teams, budgets, and vendor relationships. Deep understanding of data and AI compliance requirements, including governance, privacy, and contractual obligations. Excellent communication, storytelling, and stakeholder engagement skills. Benefits Medical and Dental coverage available for employees, dependents, domestic partners, and spouses Paid Time Off – Flexible options plus 10 paid company holidays where available** All full-time positions are hybrid, with many eligible to be completely remote Fully Paid by Origami Risk – Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance Generous family leave options—including adoption and foster care placements Pre-Tax Savings Accounts – Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account Retirement Savings – 401(k) with company match up to 4% Employee Assistance Program (EAP) – Confidential & Free support offered to colleagues facing personal or work-related complications Education Assistance Program – to help colleagues pursue industry/role-specific certifications Wellness Benefits – reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management Additional coverages available – Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage **Flexible PTO not available in California or the UK Who We Are Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management. Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results. A singular focus on client success underlies Origami’s approach to developing, implementing, and supporting our award-winning software solutions. Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law. Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email transparencycheck@origamirisk.com.

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Responsibilities

The Director of Data & AI will define and own the vision for a unified data and AI strategy to support business growth and innovation. They will lead the development of a cloud-native data lake house and improve data governance practices.