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Key Responsibilities
Leadership & Strategy
Define and execute the long-term digital assets strategy for TLS in the ME.
Ensure governance, prioritization, and alignment of technology initiatives with PwC global standards and local business needs.
Technology Portfolio Oversight
Oversee and manage a portfolio of 20+ digital tools, including:
In-house development (e.g., e-invoicing solutions, reconciliation engines, AI Agents and AI workflow tools).
Localization of global PwC solutions
Automation & analytics initiatives using Power Automate, Alteryx, Databricks, and Power BI.
Ensure sustainability, scalability, and cost-effectiveness of deployed solutions.
Team Management
Lead and develop a cross-regional team of 20+ professionals. Build a high-performance culture, with clear goals, coaching, and continuous improvement.
AI Enablement
Act as the key technology lead for AI initiatives within TLS, design and implement AI-enabled solutions, ensuring robust infrastructure and realistic expectation management.
Stakeholder Engagement
Serve as the primary liaison with global PwC technology teams, internal IT, Finance, and Risk & Quality. Translate complex technical topics into clear, business-oriented messages.
Report regularly to TLS stakeholders (CEO, COO, CFO, CTO, business line leaders) on project portfolio, budgets, and outcomes.
Governance & Financials
Lead financial planning, budgeting, and cost management for digital assets and provide transparency on costs, projects, and performance metrics.
Ensure compliance with internal and external standards, including cybersecurity and risk management.
Requirements
Education & Experience
12+ years of experience in technology strategy, digital transformation, or IT leadership roles, preferably within professional services, consulting, or large enterprise environments.
Proven record of accomplishment of leading large, multi-disciplinary teams in a high-pressure environment.
Strong background in project and portfolio management.
Technical Expertise
Solid understanding of application development lifecycle, software architecture, and cloud infrastructure.
Experience with data & analytics technologies (Alteryx, Databricks, Power BI) and automation platforms (e.g., Power Automate).
Knowledge of AI technologies, their infrastructure requirements, limitations, and risks.
Awareness of cybersecurity and data governance best practices.
Leadership & Soft Skills
Excellent communication and influencing skills; ability to translate technology into business language.
Strong change management and stakeholder management capabilities.
Proven ability to manage senior stakeholder expectations and balance competing priorities.
Experience in managing distributed, cross-cultural teams.
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