Technology Executive Leadership — M6
TECHNO.TECHNOLO6B55.M6
Leads engineering and technology organizations through people management of managers and senior managers — owning delivery, technical strategy, budgets, and org-building. Distinct from individual-contributor architecture/principal-engineer tracks (which deepen technical depth without managing managers) and from advisory/fractional-CTO consulting focuses (engagement-based external advising). This is the internal management ladder from managing managers (M3) through multi-function/division technology leadership (M6). Note: where evidence describes board/investor representation, advising the CEO, venture scouting, and deciding 'what to build and why,' these are executive-officer (CTO/VP) duties that the most senior management roles in this focus may exercise — they are not generic attributes of every M6 manager.
Leads engineering and technology organizations through people management of managers and senior managers — owning delivery, technical strategy, budgets, and org-building. Distinct from individual-contributor architecture/principal-engineer tracks (which deepen technical depth without managing managers) and from advisory/fractional-CTO consulting focuses (engagement-based external advising). This is the internal management ladder from managing managers (M3) through multi-function/division technology leadership (M6). Note: where evidence describes board/investor representation, advising the CEO, venture scouting, and deciding 'what to build and why,' these are executive-officer (CTO/VP) duties that the most senior management roles in this focus may exercise — they are not generic attributes of every M6 manager.
Focus — Technology Executive Leadership
Leads engineering and technology organizations through people management of managers and senior managers — owning delivery, technical strategy, budgets, and org-building. Distinct from individual-contributor architecture/principal-engineer tracks (which deepen technical depth without managing managers) and from advisory/fractional-CTO consulting focuses (engagement-based external advising). This is the internal management ladder from managing managers (M3) through multi-function/division technology leadership (M6). Note: where evidence describes board/investor representation, advising the CEO, venture scouting, and deciding 'what to build and why,' these are executive-officer (CTO/VP) duties that the most senior management roles in this focus may exercise — they are not generic attributes of every M6 manager.
Material PAY and SKILL differential vs the function baseline.
Responsibilities by level
What this person actually does at each level on the executive track — escalating scope, not one generic blob. Your level is highlighted.
- Manages a team or department of engineers and owns engineering delivery for a defined scope — sprint planning, release management, cross-team coordination, and project execution.
- Owns the technical design of multi-component systems, defines eval frameworks for LLM-based features, and sets cost budgets for the team's AI and cloud workloads (AWS, Azure, or GCP).
- Manages the department's engineering budget, resource allocation, headcount, and CI/CD pipeline discipline within approved limits.
- Partners with Product on roadmap planning and executes multiple efforts within a larger strategic goal set by senior leaders.
- Develops a culture of continuous improvement and ensures the team's portion of the technology stack — including virtualization (VMware, Hyper-V) and networking (Cisco, Juniper) infrastructure where applicable — meets evolving business needs.
- Manages managers across multiple engineering departments or sections, coordinating delivery and technical strategy as teams grow from dozens toward a hundred engineers.
- Sets functional engineering policy aligning the technology stack and AI/ML adoption (agentic AI, RAG systems, vector databases, LangChain, Amazon Bedrock orchestration) with business objectives, where misalignment could jeopardize business activities.
- Builds and scales engineering processes — CI/CD discipline, containerization standards, MLOps/LLMOps practices, and eval governance — as the organization grows, standardizing across sections.
- Manages consolidated engineering budgets and resource allocation across departments, balancing cloud and AI cost control against delivery commitments.
- Strategically manages technology programs for the function, creates roadmaps for competitiveness, and engages senior leaders on functional strategy.
- Leads a large distributed engineering organization (e.g., ~150 engineers) through department managers, with decisions impacting division or company operations.
- Defines methods and standards for org-wide complex issues — end-to-end cloud architecture, cybersecurity and resilience posture (encryption, secure SDLC, incident response), and how AI fits across the platform.
- Sets the division's technology strategy and innovation direction, evaluates emerging technologies, and manages the innovation portfolio.
- Influences executives and major customers on key technology issues, representing engineering in division-level strategic and competitive decisions.
- Owns division-level engineering budgets, financial planning, and cost control, including cloud and LLM cost optimization at scale.
- Leads multiple technology functions or divisions through senior managers, setting the organization's long-term technical vision and innovation direction.
- Tackles abstract, cross-functional issues — defines long-term strategy spanning infrastructure, security, and operations, and frames emerging-technology bets affecting company success.
- Where holding executive-officer scope, represents technology to the board, investors, press, and the technical talent community, and advises the CEO and executive team on technology implications of major business decisions.
- Builds strategic technology partnerships with vendors, platforms, and research institutions; conducts scenario planning, patent landscaping, and venture scouting.
- Negotiates with executives on critical matters and influences company-wide technology policy, deciding what to build and why across the enterprise.
Level guidelines
The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.
| Level | Knowledge & Application | Complexity & Problem Solving | Collaboration & Interaction | Typical Degree & Years |
|---|---|---|---|---|
| M3 | Applies deep software architecture and systems-design knowledge, mastery of software development methodologies and programming languages, plus eval and MLOps literacy to direct a team building AI features; translates roadmap into technical design, cost budgets, and delivery plans within defined scope. | Resolves diverse engineering and delivery issues across a department, evaluating trends to adjust process and technical approach within an established strategy. | Leads a functional or customer-facing engineering team; partners with Product and adjacent leads; communicates trade-offs to peers and one level up; learns strategic planning from senior technology executives. | 5–7+ years managing professionals and budgets; first tier at which managing other managers begins, building on a strong software engineering and systems-design foundation. |
| M4 | Applies functional strategy and policy knowledge across multiple departments, aligning the technology stack, AI/ML adoption, and engineering practices with business objectives. | Solves strategic, multi-team problems where misalignment could jeopardize business activities; standardizes process and eval/MLOps governance across sections. | Engages senior leaders on functional strategy; coordinates across departments and with Product, Security, and Finance partners. | 8–10+ years with complex team/org leadership, including managing managers across multiple sections. |
| M5 | Defines org-wide methods and standards for cloud architecture, cybersecurity/resilience, and AI integration; sets division technology strategy and manages the innovation portfolio. | Addresses complex org-wide issues with division- or company-level impact; defines the methods others follow to resolve them. | Leads through department managers; influences executives and major customers on key technology issues. | 10–12+ years including second-level management and strategy work; track record scaling distributed organizations. |
| M6 | Sets long-term technical vision across functions/divisions, integrating abstract cross-functional strategy spanning infrastructure, security, operations, and emerging-technology direction; at executive-officer scope, advises the CEO and board. | Solves abstract, cross-functional problems with long-term effect on company success; frames bets via scenario planning, patent landscaping, and venture scouting. | Negotiates with executives on critical matters; where executive-officer, represents technology to the board, investors, press, and talent community; influences company policy. | 12–15+ years of deep leadership across departments or divisions, including executive-level technology strategy. |
Skills
Focus-specific skills the role applies — the relevance layer beyond the occupational base.
- Software Architecture & Systems Design
- Applies deep understanding of systems architecture and integration, grounded in a non-negotiable computer science and software engineering foundation, to govern the design of multi-component systems.
- Software Development Methodologies
- Applies mastery of software development methodologies and programming languages to set engineering practice and guide delivery across teams.
- Cloud Architecture
- Directs design of end-to-end cloud systems across security, scalability, performance, cost, and reliability — including where AI fits — using AWS, Azure, Google Cloud Platform, and Amazon Bedrock.
- AI/ML Literacy
- Maintains fluency in agentic AI, RAG systems, vector databases, and multi-agent orchestration (LangChain), now required in a majority of US tech postings, to set AI adoption direction.
- Eval Literacy
- Designs, runs, and reasons about model evaluations — the strongest signal of having actually built with LLMs — and establishes eval frameworks as governance.
- MLOps / LLMOps
- Oversees deployment, monitoring, versioning, and scaling of models via CI/CD and containerization, with LLMOps adding cost optimization, latency management, and guardrails.
- Cybersecurity & Resilience
- Implements best practices around data protection, encryption, secure software development lifecycles, and incident response plans across the technology estate.
- Communication & Stakeholder Management
- Communicates effectively with stakeholders, board members, and employees, translating technology trade-offs for technical and non-technical audiences.
- Financial Management
- Applies proficiency in budgeting, financial management, and cost control to engineering and cloud/AI spend at department, division, and enterprise scale.
- Analytical Problem-Solving
- Analyzes problems and understands industry trends and competitor strategies to inform technical and organizational decisions.
- Strategic Vision
- Sets long-term technical vision and direction — answering where the technology is going and why — across functions and divisions.
Provenance
The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).
Level — M6 — Vice President
Owns a major function or division; accountable for organization-wide outcomes.
- Scope
- A major function or division
- Autonomy
- Accountable for division strategy and outcomes
- Complexity
- Enterprise priorities and external factors
- Impact
- Division-wide / organization-wide
- Decision rights
- Owns strategy, budget, and org for a division
- Leadership
- Leads the leadership of a division
- Typical experience
- 15–25 yrs
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
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O*NET / SOC
- code=11-3021source=jfm-factory.resolve