Skip to content
Jobsearch.ing

Lead Technology Advisory Analyst

Referrals OnlyMelbourne, AU

Data and analyticsLead2+ yrs
Source-verified: read directly from this employer's own greenhouse job board, not a repost.Posted (21 days ago)Last verified (today)

At a glance

Location
Melbourne, AU
Workplace
Not stated
Pay
Not published by the employer
Employment type
Not stated
Experience
2+ years
Education
No degree requirement stated
Job family
Data and analytics
Seniority
Lead
Posted by employer
17 August 2026
Last verified open
7 September 2026
Region and country
AU
Team
11_TWAUS PS - Tech Advisory Service Development
Listed via
Greenhouse

What the employer wrote

 

Role Overview

The Technology Advisory Analyst serves on AI-native advisory teams , empowering clients to navigate the critical junction of strategy and technical execution.

Collaborating with senior leadership and technical specialists, you will anchor the delivery process by framing challenges, validating hypotheses, and quantifying trade-offs to produce deliverables that are truly decision-ready for the executive level.

By blending top-tier consulting rigor with an AI-native workflow, you enable senior teams to perform with unprecedented speed and depth , ensuring every strategic insight is backed by robust evidence and structural accuracy.

This role transcends traditional requirements documentation; you are the engine of execution that translates high-level strategic intent into measurable, high-impact business outcomes.

 

What You'll Do

1. Drive Research and Analysis

Perform core advisory and consulting activities including:

• Industry and market research

• Technology landscape assessments

• Business process analysis

• Data analysis and interpretation

• Competitive benchmarking

• Opportunity identification

Leverage AI-enabled tools to accelerate research and analysis while maintaining high standards of quality and accuracy.

2. Translate Business Problems into Actionable Insights

Work with clients and engagement teams to:

• Understand business objectives and challenges

• Gather and synthesize qualitative and quantitative information

• Structure complex problems into manageable workstreams

• Identify patterns, risks, opportunities, and trade-offs

• Develop evidence-based recommendations

3. Support Client Engagements

Contribute to client-facing advisory work by:

• Preparing executive-ready presentations and deliverables

• Facilitating workshops and discovery sessions

• Documenting business and technology requirements

• Supporting strategic assessments and roadmap development

• Helping clients evaluate technology options and transformation opportunities

4. Apply AI to Enhance Delivery

Use AI responsibly to improve the speed and quality of advisory work by:

• Accelerating research and information synthesis

• Supporting analysis and content development

• Developing repeatable prompts and workflows

• Validating AI-generated outputs for accuracy and relevance

• Continuously improving how advisory work is delivered

5. Ensure Quality and Delivery Excellence

Review work products to ensure they are:

• Accurate

• Well-structured

• Insightful

• Client-ready

• Supported by evidence

Identify gaps, inconsistencies, and risks before deliverables are shared with clients.

6. Contribute to Continuous Improvement

Help strengthen the Technology Advisory practice by:

• Capturing reusable frameworks, templates, and methodologies

• Sharing lessons learned across engagements

• Improving research approaches and analytical methods

• Contributing to internal knowledge assets and AI-enabled delivery practices

What Success Looks Like

Success in this role means:

• Delivering high-quality analysis that enables better client decisions

• Producing clear, structured, and actionable deliverables

• Using AI effectively to increase team productivity without compromising quality

• Supporting Technology Advisory engagements that deliver measurable client value

• Building reusable knowledge and practices that improve future engagements

Who You Are

Experience

Typically 2-6 years of experience in one or more of the following:

• Management or technology consulting

• Business analysis

• Technology strategy

• Product or digital transformation

• Data, research, or analytics

Experience working on technology-enabled business initiatives is highly valued.

Capabilities

Business & Technology Analysis

• Strong analytical and critical thinking skills

• Ability to connect business needs with technology solutions

• Comfortable working with ambiguity and complex problems

Structured Problem Solving

• Breaks down complex challenges into logical components

• Synthesizes information into clear recommendations

• Thinks strategically while remaining detail-oriented

Communication

• Excellent written and verbal communication

• Creates executive-ready presentations and documentation

• Able to explain technical concepts to business stakeholders

AI-Enabled Ways of Working

• Comfortable using AI tools to enhance research, analysis, and content creation

• Understands how to validate AI-generated outputs

• Continuously explores new ways to improve productivity through AI

Collaboration

• Works effectively across multidisciplinary teams

• Partners closely with Technology Advisors, architects, designers, engineers, and client stakeholders

• Builds trusted relationships with clients and colleagues

What Makes This Role Different

Technology Advisory Analysts help clients navigate strategic technology decisions by combining analytical rigor, business understanding, and modern AI-enabled delivery practices.

Rather than simply documenting requirements, you help shape strategic recommendations, uncover insights, and accelerate advisory engagements. By combining consulting fundamentals with AI-powered ways of working, you enable teams to deliver deeper analysis, faster execution, and greater value for clients.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment .

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Onsite

See here our AI policy.

Where this record came from

Read from Referrals Only's own Greenhouse job board on , and last confirmed still open on . The employer published it on 17 August 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

More roles like this one