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$28.5K

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How much do senior manager artificial intelligence jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior manager artificial intelligence in the United States is $97,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $136,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Manager Artificial Intelligence vs Data Scientist?

AspectSenior Manager Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in AITechnical data analysis and modeling

The Senior Manager Artificial Intelligence typically oversees AI projects, manages teams, and aligns AI strategies with business goals. Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require strong technical skills, the Senior Manager role emphasizes leadership and strategic planning, whereas Data Scientists are more hands-on with data analysis and modeling.

What are the key skills and qualifications needed to thrive as a senior manager artificial intelligence?

To thrive as a Senior Manager Artificial Intelligence, you need a strong background in computer science, AI/ML algorithms, and leadership, often supported by an advanced degree and relevant industry experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and project management tools is typically required, along with certifications in AI or data science. Outstanding communication, strategic thinking, and team leadership abilities help drive innovation and foster cross-functional collaboration. These skills and qualities are essential for successfully leading AI initiatives that align with business objectives and deliver measurable value.

How does a senior manager artificial intelligence typically balance technical leadership with team management responsibilities?

A Senior Manager of Artificial Intelligence often divides their time between providing strategic technical guidance and overseeing the professional development of their team. They are expected to set the vision for AI projects, review technical designs, and ensure alignment with business objectives, while also mentoring team members, managing project timelines, and facilitating collaboration across departments. Balancing these responsibilities requires strong communication skills and the ability to prioritize tasks effectively. Additionally, they frequently interact with stakeholders to translate complex AI concepts into actionable business strategies.

What does a senior manager artificial intelligence do?

A Senior Manager of Artificial Intelligence oversees the strategy, development, and deployment of AI-driven solutions within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to deliver projects that solve business problems using AI technologies. Additionally, they collaborate with other departments to identify opportunities for AI, ensure ethical AI practices, and manage project timelines and budgets. Their role is crucial in aligning AI initiatives with the company’s overall goals and ensuring the successful adoption of AI solutions.
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Senior Manager Artificial Intelligence jobs near you
Infographic showing various Senior Manager Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $97,101 per year, or $46.7 per hour.

Sr Manager Artificial Intelligence CoE Product Enablement

Academy Sports + Outdoors

Katy, TX • On-site

$116K - $153K/yr

Full-time

Re-posted 2 days ago

Academy Sports + Outdoors rating

5.8

Company rating: 5.8 out of 10

Based on 438 frontline employees who took The Breakroom Quiz

426th of 731 rated retailers

Job description

Who We Are
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country - but what truly sets us apart is our people. We're a passionate, purpose-driven team that's as committed to each other as we are to our customers.
We've spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member's journey. What fuels us? Our belief in the power of fun.
Here, you won't just help customers gear up for their next adventure - you'll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can't lose!
Education
  • Bachelor's degree in Computer Science, Information Technology, Data, Engineering, Business, or related field, or equivalent practical experience
  • Microsoft AI, Azure, Power Platform, or Copilot Studio certification
  • Training in responsible AI, data governance, product management, agile delivery, or enterprise architecture

Experience
  • 8-10+ years in AI, enterprise platforms, data, automation, software delivery, or digital transformation
  • 2+ years of hands-on experience building AI agents, automations, copilots, Retrieval-Augmented Generation (RAG) solutions, or AI-enabled workflow tools
  • 3-5+ years of experience leading, coaching, and mentoring teams
  • Experience leading enterprise-scale AI or technology initiatives across multiple business units
  • Experience influencing senior leaders and working within executive-sponsored programs
  • Experience with Microsoft AI tools including Copilot Studio, Azure AI, Azure OpenAI, Power Platform, SharePoint, Teams, and Microsoft Graph
  • Experience working in a governed enterprise environment with Architecture, Security, Legal, Compliance, Data, and business stakeholders
  • Experience owning or contributing to enterprise governance frameworks or operating models
  • Experience standing up a CoE, platform team, product function, or internal product operating model
  • Retail or multi-site experience strongly preferred

Skills
  • Translate business problems into AI opportunities, solution requirements, and adoption plans
  • Manage product intake, roadmap prioritization, enablement planning, pilot execution, adoption, and value tracking
  • Define enterprise AI strategy, operating models, and adoption frameworks
  • Apply knowledge of Microsoft Copilot, Copilot Studio, Azure AI, Power Platform, and enterprise data sources
  • Apply sound judgment on responsible AI, data privacy, access controls, prompt security, and cost management
  • Communicate effectively with and influence senior and executive stakeholders

Responsibilities
  • Own AI CoE product intake, roadmap prioritization, enablement planning, pilot execution, adoption, and value tracking
  • Lead AI CoE initiatives at enterprise scale across multiple business units
  • Define and own the AI CoE operating model including governance, intake, and platform reuse
  • Partner with business and senior leadership to identify AI use cases tied to productivity, operational improvement, risk reduction, and decision-making
  • Serve as a trusted advisor to senior leadership on AI enablement, investment prioritization, and governance
  • Guide design and rollout of AI-enabled solutions using Microsoft AI platforms and enterprise data sources
  • Determine optimal delivery path across native platforms, CoE-built solutions, architecture support, and third-party tools
  • Partner with Architecture, Security, Legal, and Data teams to ensure solutions are secure, governed, and supportable
  • Establish guardrails for data privacy, access controls, prompt security, cost management, and responsible AI use
  • Define enterprise-level success measures including adoption, productivity impact, cycle-time reduction, and ROI
  • Build and scale repeatable enablement patterns, intake templates, adoption playbooks, and governance mechanisms
  • Manage relationships with strategic partners supporting AI platform and delivery
  • Lead and develop team members

Physical Requirements & Attendance
  • Acceptable level of hearing and vision to perform job duties
  • Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
  • Regular in-office attendance is required
Equal Employment Opportunity
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.

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