Strategy& is a global strategy consulting business uniquely positioned to help deliver your best future: one that is built on differentiation from the inside out and tailored exactly to you. As part of PwC, every day we’re building the winning systems that are at the heart of growth. We combine our powerful foresight with this tangible know-how, technology, and scale to help you create a better, more transformative strategy from day one.
As the only at-scale strategy business that’s part of a global professional services network, we embed our strategy capabilities with frontline teams across PwC to show you where you need to go, the choices you’ll need to make to get there, and how to get it right.
The result is an authentic strategy process powerful enough to capture possibility, while pragmatic enough to ensure effective delivery. It’s the strategy that gets an organization through the changes of today and drives results that redefine tomorrow. It’s the strategy that turns vision into reality. It’s strategy, made real.
Position summary:
The Ideation Center is the think tank arm of Strategy& that focuses on thought leadership and growth of a number of distinct functional capabilities, such as behavioral economics, evidence generation, foresight, innovation as a service, and advanced data analytics.
We are looking for a Data Science and AI Manager to lead the Advanced Data Analytics vertical at the Ideation Center. This client-facing role focuses on delivering cutting-edge analytics and AI solutions to unlock insights from complex data sets. You will lead project teams, leveraging advanced machine learning models, to drive innovation and strategic decision-making for clients and advance the positioning of the vertical within the firm. Your leadership will ensure that data analytics becomes a powerful driver for transformation across various sectors.
Primary duties and responsibilities:
• Data Analysis and Machine Learning Implementation: Leverage advanced analytics tools and machine learning models to extract insights from large, complex datasets. Use these insights to inform client strategies and solve high-impact challenges.
• AI, Predictive Analytics and Machine Learning Solutions: Lead the development and deployment of AI, predictive analytics and machine learning models, ensuring solutions are scalable and aligned with client goals.
• Simulation Modelling: Deploy tools such as geospatial analytics, network analysis, and agent-based modelling to understand and simulate complex systems and relationships.
• Natural Language Processing and Sentiment analysis: Use Natural Language Processing (NLP) tools and sentiment analysis to understand market trends and opinions from textual data such as social media and qualitative feedback.
• Data Visualization and Reporting: Create dynamic visualization tools and dashboards to present actionable insights to clients, enabling them to make data-driven decisions.
• Lead Client-Focused Analytics Projects: Manage and deliver client projects from initiation to completion, ensuring that data analytics solutions meet client objectives and drive measurable outcomes.
• Strategic Consulting: Collaborate with clients and senior leadership to design and implement advanced analytics strategies that unlock value from data and drive business transformation.
• Client Engagement and Relationship Management: Serve as the key point of contact for clients, managing relationships and ensuring the successful delivery of analytics projects.
• Business Development: Support business development efforts by identifying client needs, contributing to proposals, and expanding the analytics portfolio.
• Thought Leadership Pieces: Lead the creation of thought leadership content, using original research and advanced analytics to generate insights that shape industry trends and inform strategic decision-making for clients.
• Cross-Vertical Innovation and Collaboration: Collaborate with other verticals to drive cross-disciplinary innovation, integrating diverse expertise to develop new products and solutions that create additional value for clients.
Knowledge, skills, and abilities
Qualifications:
• Master’s degree or Ph.D. in Data Science, Computer Science, Engineering, or a related field
• 8+ years of experience in data analytics, machine learning, and AI; 3+ years in consulting or client-facing leadership role is desirable but not essential
• Expertise in analyzing large datasets using Python, R, SQL, and tools like TensorFlow, Power BI, Tableau
• Strong understanding of data architecture, cloud computing (AWS, Azure), and data warehousing
• Proven ability to manage client relationships, lead analytics projects, and deliver data-driven insights that create measurable impact
• Excellent communication skills with the ability to present complex data insights in a clear, actionable manner for clients and stakeholders
Skills:
• Data analysis and visualization
• Machine learning and AI
• Big data technologies
• Cloud computing
• Data engineering
• Programming
• Natural language processing (NLP)
• Excellent analytical and research skills
• Project management skills
• Excellent written and verbal communication skills
• Fluency in English is a must, and competency in Arabic is strongly preferred