Remote AI Strategy Manager Jobs
Remote AI Strategy Manager jobs are open across the U.S. at remote-first firms, distributed product teams, and enterprise organizations integrating AI into their core operations, with demand concentrated in technology, consulting, and financial services. Employers hiring remotely right now include University of San Diego, WORG, and Amgen. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 55+ Remote AI Strategy Manager jobs
Position Purpose:
The Senior Director, Technology – Cybersecurity Strategy, Architecture & AI Transformation is responsible for defining and advancing the future-state architecture, strategy, and transformation agenda for Cybersecurity. This leader will establish and drive the long-range cybersecurity technology strategy, provide strategic leadership across enterprise security architecture, and lead major modernization and transformation efforts, including the organization’s AI-enabled Cybersecurity transformation.
The Senior Director will bring together strategic technical leadership across cybersecurity architecture domains, align Distinguished Engineers and Principal Architects around a cohesive target-state architecture and roadmap, and translate emerging technologies into scalable capabilities that improve cybersecurity effectiveness and business outcomes. The role will provide executive leadership across AI, automation, knowledge-driven security capabilities, and other emerging technologies while ensuring appropriate governance, security, architectural consistency, and measurable value realization.
This leader will work across Cybersecurity, Technology, and enterprise partners to turn strategy into execution, influence investment priorities, accelerate modernization, and develop the technical talent and capabilities required for the next generation of Cybersecurity. The role requires a leader who can operate at the intersection of cybersecurity, enterprise architecture, artificial intelligence, technology transformation, and executive strategy.
Preferred Requirements
- Demonstrated senior leadership experience developing and executing enterprise cybersecurity strategy, security architecture, or large-scale technology transformation within a complex enterprise environment.
- Deep understanding of enterprise security architecture and the ability to establish target-state architecture, technical standards, strategic roadmaps, and modernization priorities across multiple cybersecurity domains.
- Significant experience leading AI, machine learning, generative AI, agentic AI, intelligent automation, or other emerging-technology initiatives, ideally within cybersecurity or another risk-sensitive technology environment.
- Strong understanding of modern AI architecture and enabling capabilities, including large language models, agent-based systems, retrieval-augmented generation (RAG), knowledge graphs, model integration, automation frameworks, and AI observability.
- Experience translating emerging technologies into production-scale enterprise capabilities, including establishing architectural patterns, governance, controls, operating models, and measures of business value.
- Strong understanding of AI governance, responsible AI, AI security, data governance, risk management, and controls necessary to deploy AI safely and sustainably within an enterprise environment.
- Experience leading enterprise transformation programs involving multiple organizations, technologies, dependencies, and senior stakeholders, with demonstrated ability to move from strategy and architecture through implementation and measurable outcomes.
- Proven ability to lead and influence Distinguished Engineers, Principal Engineers/Architects, and other senior technical talent, creating alignment across independently operating technical domains.
- Demonstrated ability to evaluate technology investments and emerging capabilities, establish priorities, and make strategic tradeoff decisions balancing innovation, cybersecurity risk, operational resilience, scalability, and business value.
- Executive-level communication and influence skills, with the ability to translate highly technical AI and cybersecurity topics into clear strategic choices, risks, investment needs, and business outcomes for senior Technology and business leaders.
- Experience building and developing high-performing multidisciplinary teams spanning architecture, AI/ML engineering, automation, product leadership, governance, security, and organizational transformation.
- Demonstrated ability to lead through ambiguity and shape new capabilities where operating models, technologies, standards, and organizational responsibilities are still evolving.
- Broad technology and cybersecurity business acumen with experience partnering across architecture, engineering, infrastructure/cloud, identity, data, security operations, governance/risk, and product organizations.
- Track record of developing technical and leadership talent, building organizational capability, and creating sustainable leadership depth.
Direct Manager/Direct Reports:
- Typically reports to a Vice President.
Travel Requirements:
- Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Minimum Years of Work Experience:
- 10+
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
- Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- Courage: Stepping up to address difficult issues, saying what needs to be said
- Cultivates Innovation: Creates new and better ways for the organization to be successful
- Customer Focus: Builds strong customer relationships and delivering customer-centric solutions
- Decision Quality: Making good and timely decisions that keep the organization moving forward
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives.
- Drives Results: Consistently achieving results, even under tough circumstances
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Financial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and commitment of others
- Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
- Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
- Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications
Position Purpose:
The Senior Director, Technology – Cybersecurity Strategy, Architecture & AI Transformation is responsible for defining and advancing the future-state architecture, strategy, and transformation agenda for Cybersecurity. This leader will establish and drive the long-range cybersecurity technology strategy, provide strategic leadership across enterprise security architecture, and lead major modernization and transformation efforts, including the organization’s AI-enabled Cybersecurity transformation.
The Senior Director will bring together strategic technical leadership across cybersecurity architecture domains, align Distinguished Engineers and Principal Architects around a cohesive target-state architecture and roadmap, and translate emerging technologies into scalable capabilities that improve cybersecurity effectiveness and business outcomes. The role will provide executive leadership across AI, automation, knowledge-driven security capabilities, and other emerging technologies while ensuring appropriate governance, security, architectural consistency, and measurable value realization.
This leader will work across Cybersecurity, Technology, and enterprise partners to turn strategy into execution, influence investment priorities, accelerate modernization, and develop the technical talent and capabilities required for the next generation of Cybersecurity. The role requires a leader who can operate at the intersection of cybersecurity, enterprise architecture, artificial intelligence, technology transformation, and executive strategy.
Preferred Requirements
- Demonstrated senior leadership experience developing and executing enterprise cybersecurity strategy, security architecture, or large-scale technology transformation within a complex enterprise environment.
- Deep understanding of enterprise security architecture and the ability to establish target-state architecture, technical standards, strategic roadmaps, and modernization priorities across multiple cybersecurity domains.
- Significant experience leading AI, machine learning, generative AI, agentic AI, intelligent automation, or other emerging-technology initiatives, ideally within cybersecurity or another risk-sensitive technology environment.
- Strong understanding of modern AI architecture and enabling capabilities, including large language models, agent-based systems, retrieval-augmented generation (RAG), knowledge graphs, model integration, automation frameworks, and AI observability.
- Experience translating emerging technologies into production-scale enterprise capabilities, including establishing architectural patterns, governance, controls, operating models, and measures of business value.
- Strong understanding of AI governance, responsible AI, AI security, data governance, risk management, and controls necessary to deploy AI safely and sustainably within an enterprise environment.
- Experience leading enterprise transformation programs involving multiple organizations, technologies, dependencies, and senior stakeholders, with demonstrated ability to move from strategy and architecture through implementation and measurable outcomes.
- Proven ability to lead and influence Distinguished Engineers, Principal Engineers/Architects, and other senior technical talent, creating alignment across independently operating technical domains.
- Demonstrated ability to evaluate technology investments and emerging capabilities, establish priorities, and make strategic tradeoff decisions balancing innovation, cybersecurity risk, operational resilience, scalability, and business value.
- Executive-level communication and influence skills, with the ability to translate highly technical AI and cybersecurity topics into clear strategic choices, risks, investment needs, and business outcomes for senior Technology and business leaders.
- Experience building and developing high-performing multidisciplinary teams spanning architecture, AI/ML engineering, automation, product leadership, governance, security, and organizational transformation.
- Demonstrated ability to lead through ambiguity and shape new capabilities where operating models, technologies, standards, and organizational responsibilities are still evolving.
- Broad technology and cybersecurity business acumen with experience partnering across architecture, engineering, infrastructure/cloud, identity, data, security operations, governance/risk, and product organizations.
- Track record of developing technical and leadership talent, building organizational capability, and creating sustainable leadership depth.
Direct Manager/Direct Reports:
- Typically reports to a Vice President.
Travel Requirements:
- Typically requires overnight travel 5% to 20% of the time.
Physical Requirements:
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Minimum Years of Work Experience:
- 10+
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
- Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- Courage: Stepping up to address difficult issues, saying what needs to be said
- Cultivates Innovation: Creates new and better ways for the organization to be successful
- Customer Focus: Builds strong customer relationships and delivering customer-centric solutions
- Decision Quality: Making good and timely decisions that keep the organization moving forward
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives.
- Drives Results: Consistently achieving results, even under tough circumstances
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Financial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and commitment of others
- Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
- Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
- Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications
See All 55 Remote AI Strategy Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote AI Strategy Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Science & Research
What Employers Look For
The qualifications that appear most often in remote AI strategy manager jobs.
- 5 or more years of experience in AI, data strategy, or technology consulting
- Demonstrated ability to build and execute enterprise AI roadmaps
- Proficiency with AI and machine learning platforms such as Azure OpenAI, AWS SageMaker, or Google Vertex AI
- Experience driving cross-functional alignment across product, engineering, and business stakeholders
- Bachelor's degree in computer science, business, data science, or a related technical field
- Familiarity with responsible AI frameworks, data governance standards, and risk management practices
Tips for Your Remote AI Strategy Manager Job Search
Show your async AI leadership style
Remote employers want evidence you can drive AI strategy without daily check-ins. Build a public portfolio of written strategy memos, AI roadmaps, or case studies that show how you have structured and communicated AI decisions clearly to distributed stakeholders.
Apply early to remote roles that fit
Migrate Mate lists remote ai strategy manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly. Getting your application in early matters because competitive remote roles close faster than on-site ones.
Target remote-first companies specifically
Remote-first firms build their workflows around distributed collaboration, so ai strategy managers integrate faster and have more autonomy. Look for companies that use async-first tools like Notion, Loom, or Confluence and that publish remote work policies publicly, because they have already solved the infrastructure problem.
Prepare for the remote AI strategy interview
Remote interviews for this role almost always include a written exercise or async presentation component. Practice articulating AI strategy trade-offs in writing, not just verbally, and be ready to walk through how you would run an AI discovery process or roadmap session entirely over video and collaborative documents.
Remote AI Strategy Manager Jobs: Frequently Asked Questions
How do I get a remote ai strategy manager job?
Remote employers screen ai strategy managers for self-direction, crisp written communication, and the ability to move AI initiatives forward without in-person oversight. Companies hiring remotely for this role tend to be remote-first tech firms, digital-native consultancies, and enterprise teams running distributed operations. What gives candidates an edge is a clear portfolio of AI initiatives they have driven end to end, strong async communication habits, and fluency with tools like Notion, Slack, and AI roadmapping frameworks.
Which companies hire remote ai strategy managers?
Employers currently hiring remote ai strategy managers include University of San Diego, WORG, and Amgen, per current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology companies, AI-native startups, and large enterprises with distributed product or digital transformation teams operating across multiple time zones.
Can you get a remote ai strategy manager job with no experience?
Yes, but remote entry-level roles in this space are harder to land because employers expect you to work independently from day one with minimal hand-holding. Candidates break in by targeting smaller remote-first startups or internal AI task forces at mid-size companies, and by showing tangible output: a published AI strategy framework, a documented process improvement using AI tools, or a case study from freelance or volunteer work.
Do you need a degree for remote ai strategy manager jobs?
Not always, though many remote employers list a degree as a baseline expectation. What remote hiring managers weigh more heavily is demonstrated ability to build and execute AI strategy: published work, measurable results from past AI initiatives, and fluency with modern AI platforms and governance frameworks. A strong portfolio of real outcomes can offset the absence of a formal credential at many companies.
Which industries hire the most remote ai strategy managers?
Remote ai strategy manager roles concentrate in Technology & Software, Education, and Insurance, based on current remote listings on Migrate Mate as of November 2026. These sectors hire remotely because their product, data, and transformation teams are already distributed, making async AI strategy work a natural fit for their operating model.
See All 55 Remote AI Strategy Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs