Data & AI Advisory Senior Consultant

Job Description & Summary

The opportunity

Translate client priorities into data and AI strategies, prioritized use-case portfolios and responsible adoption roadmaps that create measurable value.

What you will be doing

Client advisory & opportunity shaping

Lead executive and functional discovery sessions to identify decisions, processes and customer journeys that can be improved through data and AI.

Assess data and AI maturity, readiness, constraints and dependencies across strategy, governance, technology, people and operations.

Define and prioritize AI, analytics and data-platform use cases using value, feasibility, risk and time-to-impact criteria.

Contribute to proposals, RFP responses, market campaigns and alliance-led opportunities.

Strategy, governance & value delivery

Develop data and AI strategies, target operating models, governance frameworks and transformation roadmaps.

Design Responsible AI and model-governance approaches in collaboration with risk, legal, privacy, cyber and industry specialists.

Define adoption, change and capability-building requirements for business and technology teams.

Establish outcome measures, benefits hypotheses and value-realization mechanisms with the Business Value Lead.

Solution shaping & delivery oversight

Shape solution concepts using Microsoft data and AI capabilities, including Microsoft Fabric, Azure AI services, Azure Machine Learning, Azure OpenAI and Microsoft Purview where appropriate.

Work with the Cloud Architect and Solution Engineer to validate architecture assumptions, prototypes and implementation options.

Provide advisory workstream leadership, quality review, stakeholder management and executive communication.

What we need from you

7+ years in data, analytics, AI, digital transformation or technology consulting, with material client-facing responsibility.

Demonstrated experience developing data or AI strategies, maturity assessments, operating models and use-case portfolios.

Strong understanding of data platforms, analytics, machine learning, generative AI, governance, privacy and Responsible AI.

Ability to connect technical options to commercial, operational, customer and risk outcomes.

Strong facilitation, structured problem-solving, proposal writing and executive presentation skills.

Preferred qualifications

Relevant Microsoft data or AI certifications are desirable, such as AI-102, DP-600, DP-203 or DP-100.

Experience in one or more priority industries and in professional services is preferred.

Fluent English; Romanian or other regional languages are advantageous.

Measures of success

Qualified opportunities and executive workshops supported

Value and feasibility of prioritized use cases

Quality and adoption of strategy and governance deliverables

Contribution to proposals, thought leadership and reusable assets

Client satisfaction and follow-on work generated

Key interfaces

Microsoft Cloud Architect and the other core team members

PwC Advisory sector and functional leaders

Cybersecurity, risk, privacy, legal, tax, deals, change and delivery specialists

Microsoft alliance and partner ecosystem stakeholders

Client executives, business owners, technology leaders and delivery teams.

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