Thoughtworks
TechnologyAdvisoryPartner
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“Technology Advisory Partner at Thoughtworks. Skills: Technology Advisory, AI, Strategy, Execution. Own end-to-end impact for client engagements. Define measurable business outcomes”
What You'll Achieve.
Execute better decisions; Drive measurable outcomes; Deliver what legacy firms require much larger teams to achieve; Own end-to-end impact for client engagements; Define and align on measurable business outcomes; Ensure the “last mile” is delivered; Drive alignment and action; Ensure strategies are grounded in execution reality; Deliver with speed, precision, and minimal overhead; Identify and pursue expansion opportunities based on outcomes delivered; Build long-term client relationships grounded in trust and results; Accountable for outcomes, not outputs
Industry & Context.
Frame problems as decisions; Analyze data; Generate insights; Test scenarios; Identify risks
What They're Looking For.
Must Have
15+ years in technology, consulting, or product leadership, Senior consultant (e.g., McKinsey, Bain, Accenture) with delivery credibility, Technology/operator leader (CTO, Head of Engineering, Product Leader), Proven experience leading complex transformations or platform initiatives, Can connect business strategy to technology and architecture decisions, Comfortable operating across strategy, product, engineering, and data, Frames problems as decisions, not tasks, Brings clear POVs, not just options, Influences without authority, Understands what it takes to actually deliver at scale, Avoids “strategy theater” disconnected from reality, Curious and hands-on with AI tools and workflows, Comfortable delegating work to AI while maintaining judgment, High EQ and stakeholder navigation, Able to lead in ambiguous, high-stakes environments
What You'll Do.
Own end-to-end impact for client engagements
Define measurable business outcomes
Ensure the “last mile” is delivered
Serve as a primary advisor to CIOs
Frame problems in terms of decisions
Challenge assumptions
Navigate complex stakeholder environments
Define value-led technology strategies
Advise on AI adoption
Assess current-state platforms
Define future-state roadmaps
Work within a 3-role model
Orchestrate work across humans and AI agents
Identify and pursue expansion opportunities
Build long-term client relationships
Contribute to offer development
Use AI to accelerate analysis
Leverage AI for decision support
Continuously improve how work is done
How You'll Work.
Team & Collaboration
Work within a 3-role model: Client Leader, Engagement Architect, AI Facilitator; Orchestrate work across humans and AI agents; Navigate complex stakeholder environments to drive alignment and action
Full Job Description
We are building an AI-native Technology Advisory capability that helps enterprise leaders make—and execute—better decisions at the intersection of strategy, technology, and AI. The Technology Advisor operates as a trusted advisor to senior executives, shaping critical decisions on growth, cost, risk, and transformation. This role goes beyond traditional consulting—combining strategic judgment, technical depth, and AI-enabled delivery to drive measurable outcomes. You will lead small, senior teams that deliver what legacy firms require much larger teams to achieve—using AI as a force multiplier. Job responsibilities Lead Client Outcomes (Not Just Advice) - Own end-to-end impact for client engagements (not just recommendations), Define and align on measurable business outcomes (e.g., revenue growth, cost reduction, risk mitigation), Ensure the “last mile” is delivered—closing the gap between strategy and execution. Operate as a Trusted Advisor to the C-Suite - Serve as a primary advisor to CIOs, CTOs, and business leaders, Frame problems in terms of decisions, tradeoffs, and economic value, Challenge assumptions and bring independent, evidence-based perspectives, Navigate complex stakeholder environments to drive alignment and action. Shape Technology Strategy in an AI-Native World - Define value-led technology strategies linking business goals to capabilities and investments, Advise on AI adoption, governance, and operating model transformation, Assess current-state platforms, data, and architecture—and define future-state roadmaps, Ensure strategies are grounded in execution reality, not theory. Lead Small, High-Leverage Teams - Work within a 3-role model: Client Leader (you), Engagement Architect, AI Facilitator, Orchestrate work across humans and AI agents, Deliver with speed, precision, and minimal overhead. Drive Growth Through Impact - Identify and pursue expansion opportunities based on outcomes delivered, Build long-term client relationships grounded in trust
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