Practice Manager - AI & Data

Practice Manager - AI & Data

Troy, Michigan, United States

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.

As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.

When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.

Practice Leadership & Management

• Lead and manage the AI & Data practice
• Manage and steer the allocation of practice resources across multiple activities, including:
• Technical pre-sales support
• Technical expertise delivery to projects
• Recruitment support
• Training and competency development
• Provide line management and leadership to members of the practice including technical leadership across AI and Data
• Define skills development objectives for practice members and evaluate progress and effectiveness
• Develop, improve, and standardize processes, methodologies, and tools
• Foster a culture of collaboration, innovation, and knowledge sharing across the practice

Client Engagement & Pre-Sales

• Partner with Sales and Account teams to identify and shape AI & Data opportunities
• Lead or contribute to solutioning, proposals, and RFP responses
• Act as a trusted advisor in client discussions and executive forums
• Align AI & Data solutions with business value and client outcomes

Technical Leadership & Innovation

• Provide leadership across advanced AI & Data domains:
• Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems)
• Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh)
• Cloud-based AI architectures (AWS, Azure, GCP AI services)
• Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning)
• Support delivery teams with hands-on guidance and expert oversight
• Drive development of AI & Data offerings, accelerators, and reusable assets
• Identify opportunities for AI-driven productivity gains and automation
• Ensure adoption of industry best practices and scalable architectures

• 12-15 years of experience in consulting, engineering services, or technology-driven organizations
• 5+ years of experience in AI, Data, or Analytics leadership roles
• Proven experience building and scaling technical teams or practices
• Experience in:
• Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services)
• AI/ML frameworks (e.g., Python ecosystem, Tensor Flow, PyTorch, Scikit-learn)
• Data Engineering tools & platforms (Spark, Databricks, distributed systems)
• Cloud AI ecosystems (Azure AI, AWS Sage Maker/Bedrock, Google Vertex AI)
• MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
• Understanding of data governance, security, and AI regulations

• Create, maintain, and manage the practice skill matrix
• Identify competency gaps and develop capability-building plans
• Develop and coordinate technical training programs and certification initiatives
• Build and strengthen a team of experts through:
• Recruitment
• Coaching and mentoring
• Internal talent development and training
• Support career development planning and succession management within the practice
• Promote technical communities, best practices, and continuous learning initiatives

• Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field
• Certifications in AI/ML, Cloud are a plus

Salary Range: $160,000-$190,000 + Annual Performance Bonus

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and…