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Director of AI & Data Science

Cogitate
Atlanta Metropolitan Area
Full-time
AI tools:
HuggingFace
LangChain
PyTorch
Applications go directly to the hiring team

Full Description

Director of AI and Data Science

Atlanta, GA

About Cogitate

Cogitate is a fast-growing technology company delivering cutting-edge digital insurance and data

solutions. As we evolve our platform and innovate through AI, were building an Agentic Intelligence

layer that transforms how our customers experience and use our solutions. Were looking for a bold

and visionary AI leader to join us on this journey.

Role Overview

We are seeking a strategic, hands-on Director of AI and Data Science to lead our AI and data

initiatives, supporting both internal transformation and customer-facing innovation. This leader will

collaborate closely with the CEO, CTO, and VP of Product & Innovation to embed intelligent,

data-driven capabilities across our technology stack and services.

You'll be responsible for building and leading a cohesive, high-performing multi-location team across

the U.S. and India.

Key Responsibilities

- AI Strategy & Execution

 - Define and implement Cogitates AI vision and roadmap.

 - Lead the design and deployment of intelligent agents, copilots, and automation capabilities

across our product suite.

 - Build the Agentic AI layer on top of our Digital Edge platform to launch innovative, value-added

features for customers.

 - Establish best practices for data architecture, governance, and platform extensibility to support AI

and analytics needs.

- Internal AI & Data Evangelism

 - Develop internal tools and AI solutions that streamline development, QA, support, and delivery

operations.

 - Drive adoption of data-driven decision-making across business units through effective

communication, enablement, and visibility.

- Customer-Centric Innovation

 - Represent Cogitates AI and data capabilities to customers, partners, and industry stakeholders.

 - Lead AI-driven solutioning for key clients, including pilots and co-innovation initiatives that

demonstrate real business impact.

 - Evangelize how AI, powered by structured data, can improve underwriting, claims, operations,

and distribution.

- Team Building & Leadership

 - Build and lead a distributed team of AI/ML and data science professionals across the U.S. and

India.

 - Establish a strong team culture of accountability, innovation, and excellence across time zones.

 - Partner with Engineering, Product, and Customer Success to ensure aligned, high-impact

delivery.

Ideal Candidate Profile

- Experience

 - 10+ years of experience in AI, data science, or data engineering with at least 3+ years in a

leadership role.

 - Demonstrated success in building scalable data platforms and deploying AI/ML solutions in

production environments.

 - Strong background in GenAI, LLMs, NLP, and distributed data systems.

 - Experience leading global teams and working cross-functionally with business and technical

stakeholders.

- Skills

 - Deep technical expertise in modern AI/ML frameworks (e.g., HuggingFace, LangChain,

PyTorch), data platforms (e.g., Snowflake, Delta Lake), and MLOps practices.

 - Proven ability to develop and drive AI roadmaps, aligning technical possibilities with business

priorities and market opportunities.

 - Strong understanding of AI governance, including model lifecycle management, data privacy,

ethical AI use, and compliance.

 - Strategic thinker with the ability to translate vision into actionable plans, balancing innovation with

pragmatic execution.

 - Excellent communication and storytelling skills-able to influence executive stakeholders, engage

cross-functional teams, and inspire technical talent.

 - Collaborative leadership style with a track record of building and scaling high-performing global

teams.

 - Experience with Insurance Industry, especially on P&C domain, is a plus.

Why Cogitate

Work directly with senior leadership on industry-defining innovations.

Lead AI and data transformation at the heart of the digital insurance ecosystem.

Build and scale a data infrastructure that powers real-time, intelligent decision-making.

Competitive compensation, equity opportunity, and a mission-driven culture of innovation.

Applications go to the hiring team directly