Worth AI, a leader in the computer software industry, is looking for a talented and experienced VP of Data, Analytics and AI to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

Worth AI is seeking a strategic and hands on and execution-oriented Vice President of Data to lead our data function as we scale. This role is central to shaping how data is acquired, structured, commercialized, and governed across the company. The ideal candidate brings deep experience in data strategy, monetization opportunities, and operational excellence—transforming data into a key business asset that drives commercial value, innovation, and competitive advantage. Our Vice President of Data will have distinct expertise in credit modeling and experience collaborating with third-party data providers. This role requires a dynamic leader to drive our data strategy, combining innovative risk solutions with top-tier data science, machine learning, and AI methodologies.

Responsibilities

Hands-On Leadership & Team Management

• Lead a growing team of approximately five data professionals across engineering, analytics, data science, and governance.
• Be a hands-on leader who actively engages in code reviews, model reviews, and technical deep dives to stay connected to the day-to-day realities of engineering and data science work.
• Set a high technical bar while mentoring and developing team members, fostering a culture of innovation, ownership, and collaboration.

Data Acquisition & Partnerships

• Lead the end-to-end strategy for acquiring first-party, second-party, and third-party data sources aligned to business priorities.
• Evaluate and negotiate data licensing agreements and strategic partnerships to grow our data asset portfolio.
• Design robust, scalable, and compliant ingestion pipelines for efficient data integration and enrichment.

Risk, Fraud, and Credit Model Development

•  Utilize data science, machine learning, and AI techniques to design, test, and deploy advanced risk, fraud, and credit scoring models.

Commercial Applications of Data

• Identify, define, and execute on opportunities to monetize data assets—both directly and through data-enabled products and services.
• Partner closely with Product, Sales, Marketing, Strategy, and Customer Success to integrate data insights into go-to-market initiatives and client-facing solutions.
• Translate data into actionable business intelligence that informs strategy and drives measurable business growth.

Scalability & Operational Excellence

• Build scalable, repeatable processes for data management—spanning integration, transformation, quality assurance, and delivery.
• Champion the adoption of modern data platforms and tools (e.g., Snowflake, Databricks, dbt) to support real-time decision-making and automation.
• Develop and lead a high-performing data team across engineering, analytics, data science, and governance, fostering a culture of innovation, collaboration, and accountability.

Data Governance & Compliance

• Own and evolve data governance frameworks to ensure integrity, quality, security, and compliance with global regulations (e.g., GDPR, CCPA).
• Establish clear data ownership and stewardship models, along with standardized policies for access, lineage, and privacy.
• Proactively manage data risk and embed ethical practices into all aspects of data use and monetization.
• Cross-Functional Collaboration
• Partner with engineering, product, finance, and other internal teams to ensure alignment on data initiatives.
• Serve as the internal advocate for data as a strategic asset, ensuring organizational alignment around data value and strategy.

Requirements

• Bachelor’s or Master’s  in Data Science, Computer Science, Statistics, or a related discipline
• 10+ years in data leadership roles, including at least 5 years leading large-scale data initiatives in fast-paced, data-driven environments.
• Experience with risk technology or credit modeling in enterprise contexts is a strong plus.
• Proven expertise in monetizing data assets and building governance structures at scale.
• Strong understanding of data platforms (e.g., Snowflake, Databricks), cloud architecture, data pipelines, and modern analytics tooling.
• Demonstrated ability to lead multidisciplinary teams, craft vision and strategy, and drive tactical execution.
• Outstanding communication and stakeholder management skills, with the ability to convey complex data concepts to technical and non-technical audiences.
• Deep experience in data science, machine learning, AI, and credit or risk modeling.
• Strong problem-solving and data interpretation skills with a focus on delivering results.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance
• Unlimited Paid Time Off
• 9 paid Holidays
• Family Leave
• Work From Home
• Free Food & Snacks (Access to Industrious Co-working Membership!)
• Wellness Resources