At MPM we are seeking an experienced professional in the AI innovation space to join us and work with one of our larger Global Management consulting firms.

Job Description:

As the AI Innovation Sr. Director, you will create, lead, and deliver advanced AI and data-driven solutions for Hacket's customers, including the design, development, and implementation of Generative AI (GenAI) solutions.

Your role will involve leveraging your expertise in data analysis, machine learning, and advanced analytics to provide high-quality, customized AI services.

You will play a critical role in enhancing clients' product development, marketing strategies, and overall business processes through the application of sophisticated data models and algorithms.

This position requires a strong background in Artificial Intelligence (AI) and Machine Learning (ML) with practical experience in addressing real-world business challenges. Additionally, you will manage and guide a team, collaborating closely with cross-functional teams to ensure the successful delivery of tailored, data-driven solutions that meet clients' unique needs.

Key Responsibilities:

1. Leadership and Strategic Vision: • Experience managing the lifecycle of AI projects, from ideation and prototyping to production and maintenance. • Strategic Planning: Ability to align AI initiatives with business objectives and long-term goals. • Team Leadership: Experience leading and mentoring technical teams, fostering innovation, and driving performance. • Ability to work with cross-functional teams, including data engineers, data scientists, software developers, but also to coordinate with various sponsors and functional teams to understand their requirements and provide data-driven tailored solutions and monitor their impact on business performance. • Industry-Specific Knowledge: Familiarity with industry-specific applications of AI, such as finance, healthcare, or retail can be advantageous.

2. Artificial Intelligence: • Oversee the ideation, development, and deployment of AI models and solutions, ensuring they are robust, scalable, and deliver measurable business impact. • Experience handling projects using supervised and unsupervised machine learning, forecasting, deep learning, optimization algorithms, and generative AI • Strong foundation in statistics, probability, and data modeling. • Custom AI Solutions: Building custom AI applications tailored to the specific needs of the business. •

 3. Solution Development and Implementation of Gen IA: • Design, develop, and deploy Generative AI models and solutions tailored to client needs. • Lead the end-to-end development process, from ideation and data collection to model training, evaluation, and deployment. • Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate GenAI solutions into existing products and services.

4. Data infrastructure: • AI Infrastructure Setup: Advising on the selection and setup of the necessary infrastructure for AI, such as GPUs and cloud services, recommending and helping implement the appropriate tech stack, including frameworks and tools for AI development. • Cloud Platforms: Expertise in cloud platforms like Azure (preferred), AWS, or Google Cloud, including services like AI/ML model deployment, storage, and computing resources. • Familiarity with big data ecosystems, including Hadoop, Spark, and distributed data processing. • Software Development: Experience in software engineering principles, version control (Git), and agile methodologies. • DevOps and MLOps: Understanding of CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and best practices for deploying AI models at scale. • System Integration: Seamlessly integrating AI models into existing business processes and IT systems. • Establish, enforce and advise on data governance policies to ensure data quality, security, privacy, and regulatory compliance, manage data lifecycle processes, implement data quality frameworks, manage data-related risks, maintain a comprehensive data catalog • Data architecture knowledge to support AI and analytics needs

Qualifications:

• Proven management experience with strong team leadership and project management skills, along with a track record of delivering data-driven solutions and collaborating directly with clients and customers.

• Experience working with C-level executives and understanding their strategic priorities.

• Excellent client-facing and communication skills, with the ability to build strong relationships, influence stakeholders, and convey complex technical concepts to nontechnical audiences.

• Strong knowledge of Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics. Proficiency in Python, with a demonstrated ability to apply data science concepts to real-world business problems.

• Strong proficiency in machine learning, deep learning, and specifically Generative AI techniques such as GANs, VAEs, and transformer models.

• Experience with popular AI frameworks and tools, such as TensorFlow, PyTorch, and Hugging Face. • Proven ability to balance technical depth with practical business applications.

• Strong problem-solving and analytical skills.

• High level of professionalism, integrity, and discretion.

Education: • A master's or Ph.D. in a relevant field such as Data Science, Machine Learning, Computer Science, or a related discipline is preferred.

Experience: • A minimum of 12 years of relevant experience in data science, machine learning, and analytics, with a demonstrable track record of leadership and delivering data-driven solutions.  

What we offer: 

• Fully remote position
• Salary in USD
• Starting Month 3, direct hire by end client