Company
Technology
SrDirectorAnalyst-AIandSoftwareEngineering
Neural analysis suggests this role is
optimal for Director candidates.
“Sr Director Analyst - AI and Software Engineering. Skills: AI, Software Engineering, LLMs. Develop and publish research. Analyze emerging technology and market trends”
Industry & Context.
Root cause analysis
Travel up to 25%
What They're Looking For.
Must Have
Bachelor's degree, 12+ years of relevant experience, Deep expertise in AI-driven software development, Knowledge of leading LLM ecosystems, Hands-on understanding of AI architectures, Proven ability to analyze market trends, Exceptional executive presence, Research, writing, and storytelling skills, Advanced presentation skills, Analytical ability to synthesize data, Excellent business and financial acumen, Ability to work independently, Organizational skills
Nice to Have
Media experience, External visibility
What You'll Do.
Develop and publish research
Analyze emerging technology and market trends
Advise clients directly
Reframe complex client challenges
Recommend future-ready approaches
Create and deliver presentations
Act as a market voice
Shape thought leadership
Shape client engagement strategies
Represent research insights externally
Contribute to peer review
Contribute to research innovation
Contribute to cross-team collaboration
Mentor junior analysts
Contribute to team development
How You'll Work.
Team & Collaboration
Global, multicultural teams; Sales and internal research teams
Communication Scope
Executive briefings; Keynote content; Storytelling skills
Full Job Description
## Accountabilities Develop and publish high-impact, “must-have” research focused on AI, software engineering, and AI-native development practices for global technology leaders. Analyze emerging technology and market trends, including AI agents, LLMs, and coding copilots, to identify strategic implications for enterprise software development. Advise clients directly through executive briefings, on-site engagements, and global conferences, helping them translate insights into actionable strategies. Reframe complex client challenges by identifying root causes and recommending future-ready approaches to software architecture and development. Create and deliver high-quality presentations, keynote content, and research outputs for senior technology and business audiences. Act as a market voice in collaboration with sales and internal research teams to shape thought leadership and client engagement strategies. Represent research insights externally through media, industry events, and professional networks, strengthening credibility and influence. Contribute to peer review, research innovation, and cross-team collaboration while mentoring junior analysts and contributing to team development. Requirements: Bachelor’s degree required; 12+ years of relevant experience in software engineering, AI, or related technical leadership roles (or equivalent experience). Deep expertise in AI-driven software development, including SDLC transformation and AI-enabled application design. Strong knowledge of leading LLM ecosystems (e.g., OpenAI GPT, Anthropic Claude) and developer tools such as coding agents and copilots. Hands-on understanding of AI architectures, including agents and systems used in custom-built enterprise software. Proven ability to analyze market trends and translate them into strategic guidance for enterprise technology leaders. Exceptional executive presence with the ability to engage and influence C-level stakeholders. Strong research, writing, and storytelling skill
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