Data Science Support - Core Manager - Operate

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  
  

Data&Analytics Support– Manager (10–15 Years)

Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed‑services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build, and operate the next generation of data and analytics solutions as a Data and Analytics support Manager.

Basic Qualifications

Job Requirements and Preferences

• Minimum Degree Required: Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
• Minimum Years of Experience: 10–15 years of professional experience in analytics, data science, or business intelligence roles
  
  

Preferred Qualifications

• Degree Preferred: Master’s Degree in Statistics, Data Science, Business Analytics, Economics, or related discipline
• Preferred Fields of Study: Data Analytics/Science, Statistics, Management Information Systems, Economics, Computer Science
  
  

Preferred Knowledge & Skills

As a Manager, you’ll contribute to advanced analyses, build and maintain data pipelines, develop impactful visualizations, and collaborate closely with stakeholders under the guidance of senior team members:

• Operations Data Architecture & Strategy – Architect scalable data integration solutions across Azure, Oracle Cloud, and GCP – Standardize ingestion patterns, metadata tagging, and job monitoring frameworks
• BI Governance & Dashboard Rationalization – Lead reporting strategy using Qlik, SSRS, and Power BI with consistent semantic layers – Rationalize and sunset redundant dashboards, align KPIs to SLAs
• Identity & Cybersecurity Engineering Oversight – Drive implementation and support of IAM platforms (OKTA, PAM, etc.) – Design secure access models, break-glass workflows, and DevSecOps compatibility
• Cloud Ops Monitoring & Optimization – Define architecture for cloud usage monitoring, cost management, and alerting – Lead automation of failure response for scheduled jobs and ingestion delays
• Cross-Functional Delivery Leadership – Manage delivery pods across data engineering, BI, and security tooling integration – Serve as escalation point and align project activities to compliance gates (e.g., ISO, SOX)
• SME Engagement & Client Communication – Present solutions, roadmaps, and dependency maps to IT and business leadership – Provide advisory on platform lifecycle management and integration readiness
• People Development & Operational Excellence – Coach and develop junior talent with 30/60/90-day onboarding programs – Contribute to center of excellence materials, reusable templates, and issue resolution playbooks

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