About this role
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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