Practice Manager - AI & Data

altentechnologyusa • Broomfield, CO. Greensboro, NC. Troy, Michigan

No Relocation

Posted: June 22, 2026

Job Description

As Practice Manager, AI & Data you will be responsible for;

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

MANDATORY FOR ALL REMOTE/HYBRID AND/OR CALIFORNIA, COLORADO, MARYLAND, CONNECTICUT, ILLINOIS, MINNESOTA, VERMONT, MASSACHUSETTS, NEVADA, NEW YORK, RHODE ISLAND, WASHINGTON STATE & CINCINNATI, OHIO, JERSEY CITY, NEW JERSEY, TOLEDO, OHIO BASED ROLES.

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