Data Strategy Advisor
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
The role offers valuable experience in strategy consulting but may lack as much financial compensation and seniority compared to more technical roles.
- Focus on strategy development with data and AI.
- Collaborative work environment with training opportunities.
- Suitable for mid-level professionals looking to advance.
Pros
- Opportunity to work on high-impact data and AI strategies.
- Collaborative, supportive work culture.
- Strong training and development options.
Cons
- May not reach the compensation levels of deeply technical positions.
- Consulting roles can involve ambiguity and fluctuating workloads.
- Potential for travel depending on client needs.
Who it's for
Mid-level / Consultant • Hybrid / remote work
Good fit
- Mid-level consultants eager to grow in data strategy.
- Individuals who thrive in team-oriented settings.
- Analysts with a consultative mindset.
Not recommended for
- Candidates seeking high compensation immediately.
- Those who prefer purely technical roles.
- Individuals not comfortable in teamwork or client interaction.
Motivation fit
Key skills
About the job
About the Role
Accenture is seeking talented professionals at various levels to join our Data & AI Strategy team within Strategy & Consulting. In this role, you’ll help clients define and deliver strategies that place data and AI at the centre of their business and operating model transformation.
As a Consultant, you’ll contribute to the design of operating models, capability frameworks, and transformation roadmaps while working alongside experienced colleagues. You’ll build a strong foundation in strategy consulting while helping organisations unlock value from data and AI.
Key Responsibilities
Contribute to the development of data and AI strategies, operating models, and capability frameworks.
Conduct market scans, benchmarking, and research to identify opportunities for AI adoption.
Assist in shaping business cases and prioritised use cases aligned to client objectives.
Support the creation of transformation roadmaps and help measure progress against outcomes.
Participate in client workshops, stakeholder interviews, and working sessions.
Translate complex technology and data concepts into structured, business-focused insights and deliverables.
Collaborate with cross-functional teams (strategy, technology, and industry) to support integrated client solutions.
