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Senior Manager Data Science

Publicis Groupe

Publicis Groupe

Delaware, USA
Posted on Nov 27, 2025
Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.


Overview

Senior Manager Data Science

As a Senior Manager Data Science, you will lead AI & Machine Learning initiatives, driving innovation, and delivering high-impact solutions for our clients. You will be responsible for developing and implementing cutting-edge data science strategies, ensuring business impact, and fostering a culture of data-driven decision-making.

Your Impact

  • Lead end-to-end AI & Machine Learning projects, from problem definition to deployment, ensuring alignment with business objectives.
  • Develop and implement advanced machine learning models, predictive analytics, and AI solutions to solve complex business challenges.
  • Collaborate with cross-functional teams to integrate AI capabilities into digital products and services.
  • Drive innovation by exploring emerging AI technologies, ensuring Publicis Sapient remains at the forefront of data science advancements.
  • Establish best practices for data governance, model deployment, and AI ethics to ensure responsible AI adoption.
  • Provide strategic guidance to clients on AI transformation, helping them leverage data science for competitive advantage.
  • Mentor and lead a team of data scientists, fostering a culture of continuous learning and innovation.
  • Partner with senior stakeholders to communicate the value of AI & Machine Learning, influencing decision-making at the executive level.

Skills & Experience

  • 10+ years of experience in AI, Machine Learning, and Data Science, with a strong track record of delivering AI-driven solutions.
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud-based AI platforms (AWS, GCP, Azure).
  • Proven experience in developing and deploying AI models at scale, including NLP, computer vision, and reinforcement learning.
  • Strong understanding of data engineering, data pipelines, and big data technologies (Spark, Hadoop, SQL, NoSQL).
  • Experience in leading AI transformation programs, working with C-level executives to drive AI adoption.
  • Strong knowledge of AI ethics, fairness, and interpretability, ensuring responsible AI deployment.
  • Excellent leadership and stakeholder management skills, with the ability to influence business and technical teams.

Set Yourself Apart With

  • Ph.D. or Master’s degree in Computer Science, Data Science, AI, or a related field.
  • Experience in AI strategy and AI-driven business transformation.
  • Certifications in AI, Machine Learning, or Cloud Computing (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer).
  • Strong expertise in MLOps, model monitoring, and AI governance.

Additional information

  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.