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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