Solution Architect Senior Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Solution Architect - Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced analytics and statistical techniques to extract insights from large datasets, guiding strategic decisions and solving complex business problems. As a Senior Manager, you will apply your skills and experience to deliver quality results, motivating and coaching teams to navigate challenges and solve intricate problems. You will validate outcomes with clients, share alternative perspectives, and act on client feedback, fostering a culture of open and honest communication.

In this role at PwC Acceleration Center India, you will craft and convey impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will direct teams through complexity, demonstrating composure in ambiguous situations, and initiate coaching conversations at all levels. Your commitment to developing high-performing, diverse, and inclusive teams will contribute to the success of our firm, as you deepen your skills and evolve your professional focus to stay relevant in the ever-changing landscape of data science and analytics.

Responsibilities

- Leading the design and development of advanced data solutions to transform raw data into actionable insights
- Guiding teams in leveraging statistical techniques and machine learning algorithms for complex data analysis
- Utilizing programming languages such as C++, R, and MATLAB to enhance data modeling and predictive analytics
- Building and maintaining data pipelines and data lakes to support large-scale data processing and storage
- Applying systems thinking to identify underlying problems and opportunities within data workflows
- Directing the team through ambiguity and complexity, demonstrating composure in challenging situations
- Crafting and conveying clear, impactful messages that tell a holistic story through data visualization
- Validating outcomes with clients and acting on feedback to refine data-driven strategies
- Promoting innovation and embracing change to drive continuous improvement in data science practices
- Developing and sustaining high-performing, diverse, and inclusive teams to achieve operational excellence

What You Must Have

- At least a Bachelor's degree
- At least 6 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating advanced skills in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Applying strategic thinking in complex data analysis and decision-making
- Leading teams through challenging data engineering projects
- Innovating solutions using programming languages like Python and R
- Excelling in client interactions and delivering impactful data-driven insights

Travel Requirements

Not Specified

Job Posting End Date