AI & Data Science Director

🕒 April 21

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Logo of Clarity AI

Clarity AI

201 - 500 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

💸 Finance

💰 $50M Venture Round - Clarity AI on 2021-12

Artificial Intelligence • SaaS • Finance

<company_name> is an AI-native platform providing extra-financial intelligence to financial institutions, corporations, governments, and retail platforms. It combines proprietary data collection, AI-powered processing, and expert validation to deliver transparent, explainable ESG, climate, risk, and impact insights at scale. Clarity AI offers modular SaaS products, APIs, datafeeds, and custom solutions for portfolio management, risk and compliance, reporting, and impact investing.

📋 Description

• AI & Data Science Strategy: Defining and evolving the company’s AI strategy across traditional machine learning, experimentation, evaluation, and generative AI applications. • Technical Leadership: Acting as the senior technical anchor for the function, ensuring the team applies strong scientific thinking, robust experimentation practices, and sound engineering judgment. • GenAI Adoption: Identifying where LLMs, agents, and related tooling can materially improve products, workflows, and team leverage, while avoiding hype-driven decisions. • Ecosystem Building: Creating the environment, tooling patterns, and ways of working that allow teams with mixed seniority to build and operate AI solutions effectively. • Team Leadership & Development: Coaching and developing emerging leaders and strong individual contributors, while helping define the right long-term organizational structure. • Cross-functional Translation: Bridging product, engineering, platform, and executive stakeholders to ensure AI initiatives are actionable, aligned, and well-prioritized. • Organizational Stabilization: Providing the seniority and leadership depth needed during a period of team transition and leadership change. • Selective Hiring: Helping calibrate and attract senior profiles who combine machine learning depth, strong judgment, and practical exposure to modern GenAI systems.

🎯 Requirements

• Strong ML Foundation: Deep grounding in classical machine learning, experimentation, modeling, and scientific reasoning. This is not a GenAI-only profile. • Practical GenAI Experience: Hands-on familiarity with LLMs, agentic patterns, evaluation approaches, and the rapidly evolving GenAI tooling ecosystem. • Senior Leadership Experience: Proven experience leading senior technical teams, shaping organizations, and operating as a trusted partner to executive leadership. • System-Building Mindset: Ability to create the ecosystem, processes, and technical direction that enable more junior team members to execute effectively. • Product & Business Judgment: Strong ability to connect technical decisions with business priorities, product constraints, and execution realities. • People Skills: Ability to build trust, challenge constructively, and lead both upwards and downwards in a demanding environment. • High Adaptability: Comfort operating in fast-changing, ambiguous environments with high expectations and evolving priorities. • Excellent Communication: Strong written and verbal English, with the ability to communicate clearly with technical and non-technical stakeholders.

🏖️ Benefits

• Competitive compensation, including base salary and equity. • Flexibility in ways of working, including remote and hybrid options. • The opportunity to shape a strategically critical AI function at a pivotal moment for the company. • High ownership, high impact, and close collaboration with senior leadership. • A mission-driven environment where your work will influence how sustainability intelligence is delivered at scale.

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