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Head Of Science Jobs (NOW HIRING)

Head of AI

OR ยท On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ...

Head of AI

OR ยท On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ...

We are seeking a Head of Data Science to lead a growing team of full-stack data scientists responsible for developing production-grade models that identify fraudsters and expand the company's suite ...

Faculty members report to the Assistant Head of School for Academic Affairs through their academic ... Responsibilities: โ€ข Teach 5 sections of science. Likely subjects include biology, physics (9th ...

Head of Machine Learning

Mountain View, CA ยท Hybrid

$477K - $583K/yr

POSITION SUMMARY We are seeking an experienced and visionary Head of Machine Learning to lead and ... Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work ...

While we work in science, there's no magic formula to how we do it. Our greatest scientific ... Reporting to the Head of Indirect Tax and Global Trade, the Head of Global Trade is responsible for ...

While we work in science, there's no magic formula to how we do it. Our greatest scientific ... Reporting to the Head of Indirect Tax and Global Trade, the Head of Global Trade is responsible for ...

Position Summary The Head of Maintenance is responsible for planning, organizing, and directing all ... Qualifications Bachelor of Science degree in Mechanical Engineering preferred, or equivalent work ...

As a Head of Performance, you will serve as the dedicated financial thought partner to our Growth ... You will partner daily with our Marketing, Data Science, Inventory Planning, and Storefront teams ...

Lead Science Educator (Middle & High School)

Miami, FL ยท On-site

$45K - $59K/yr

This person must be able to maintain high standards in their classrooms, manage learning with structure and consistency, and collaborate closely with the Head of Science to continuously strengthen ...

Park Schools Montessori (PS) is looking for a Head of School who will oversee the daily operations ... M (science, technology, engineering, arts, and mathematics). Our Montessori program teaches a ...

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Head Of Science information

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$289.5K

$305K

$319K

How much do head of science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for head of science in the United States is $305,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $297,500.00 and $312,500.00 per year, depending on experience, location, and employer.

Which is the highest paid job in science?

The highest paid jobs in science are often executive roles such as Chief Scientific Officer or senior research directors, especially in biotechnology, pharmaceuticals, and technology companies. These positions typically require advanced degrees, extensive experience, and leadership skills, with salaries reaching into the high six or seven figures annually.

What jobs pay $500,000 a year in the US?

In the US, high-level executive roles such as CEOs, CFOs, and other C-suite executives often earn $500,000 or more annually. Certain specialized professions like top surgeons, successful entrepreneurs, and senior investment bankers can also reach or exceed this income level, especially with bonuses, stock options, or profit sharing. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or significant financial risk.

What does a head of science do?

A head of science oversees scientific research and development within an organization, managing teams of scientists and ensuring projects meet objectives. They develop strategies, coordinate experiments, analyze data, and ensure compliance with safety and regulatory standards, often requiring strong leadership and technical expertise. This role typically involves collaboration across departments and may require advanced degrees in science or related fields.

What jobs pay 4000 a week without a degree?

A Head of Science role typically requires advanced education and experience, so it is unlikely to pay $4,000 a week without a degree. However, some high-paying jobs such as sales managers, real estate brokers, or skilled trades like electricians and commercial pilots can reach or exceed this income level through experience, certifications, and commissions. These roles often require specialized skills, licenses, or extensive experience rather than formal degrees.
More about Head Of Science jobs
What cities are hiring for Head Of Science jobs? Cities with the most Head Of Science job openings:
What are the most commonly searched types of Of Science jobs? The most popular types of Of Science jobs are:
What states have the most Head Of Science jobs? States with the most job openings for Head Of Science jobs include:
Infographic showing various Head Of Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $305,000 per year, or $146.6 per hour.

Head of AI

Atos

OR โ€ข On-site, Remote

Full-time

Posted 13 days ago


Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. โ‚ฌ10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
โ€ข Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

โ€ข Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

โ€ข Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

โ€ข Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

โ€ข Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

โ€ข Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

โ€ข Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.