Senior Manager, Data And Analytics
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognizing when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to :
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
- Apply systems thinking to identify underlying problems and / or opportunities.
- Validate outcomes with clients, share alternative perspectives, and act on client feedback.
- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
- Deepen and evolve your expertise with a focus on staying relevant.
- Initiate open and honest coaching conversations at all levels.
- Make difficult decisions and take action to resolve issues hindering team effectiveness.
- Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team you will lead the architecture design and development of innovative Customer Interaction and Contact Center AI solutions. As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide cross-functional teams through every project phase, driving project success. This role offers the chance to shape proposals, lead pursuits, and contribute thought leadership while interacting with clients at a senior level.
Responsibilities
Lead the design and implementation of innovative Customer Interaction and Contact Center AI solutionsGuide cross-functional teams through every stage of project executionEstablish strategic direction for the Digital Contact Solutions teamShape proposals and drive business development initiativesInteract with clients at a senior level to secure project successProvide thought leadership and market insights to enhance service offeringsFoster collaboration and operational excellence within the teamAnalyze project outcomes and identify opportunities for enhancementWhat You Must Have
Bachelor's DegreeAt least 6 years of experienceWhat Sets You Apart
Master's Degree preferredProfessional certifications from AWS, Microsoft, Google preferredLeading design and development of AI solutionsExcelling in communication at c-suite levelManaging teams of functional and technical resourcesUtilizing cloud platforms and modern architecture patternsDemonstrating technical leadership as a Solution ArchitectProficiency in DevOps, AI / ML, and IT transformationHands-on experience with Amazon Q and Agentic AI FrameworksLeading teams to create end-to-end solutions for customer journey from intent recognition through resolution, across IVR and Agent toolsImproving customer engagement and satisfaction through Conversational AI and Agentic AI solutionsMentoring and guiding team members in AI and technology leading practicesLeading initiatives of prototyping, proof-of-concept (PoC) to validate new AI / agentic capabilities before full rolloutIntegrating agentic AI into enterprise ecosystems, guardrails and safety layersArchitecting autonomous and semi-autonomous agent workflows for customer and business outcomesDesigning and delivering agentic AI products, applications, and solutions tailored to business needs, while providing implementation guidance throughout executionArchitecting enterprise-grade AI platforms with a focus on framework selection, governance, and operational models to ensure safety, security, and scalabilityGuiding teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuningIntegrating contact center applications with SaaS cloud CRM, Agent Desktop solutionTravel Requirements
Up to 60%