Practice Manager

Responsibilities;

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

Qualifications

• 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, TensorFlow, PyTorch, Scikit-learn)
  • Data Engineering tools & platforms (Spark, Databricks, distributed systems)
  • Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI)
  • MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
• Understanding of data governance, security, and AI regulations

Skills & Competency Management

• 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

Educational Qualifications

• 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 experience 

Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI.