Finance Data and AI Senior Associate

Industry/Sector

Not Applicable

Specialism

Finance

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in finance consulting specialise in providing consulting services related to financial management and strategy. These individuals analyse client needs, develop financial solutions, and offer guidance and support to help clients optimise their financial performance, improve decision-making, and achieve their financial goals.

In enterprise performance management at PwC, you will focus on helping clients improve their financial performance and decision-making processes. You will analyse financial data, develop performance metrics and key performance indicators (KPIs), and design and implement performance management frameworks. You will be responsible for providing guidance on budgeting, forecasting, and financial planning processes to drive operational efficiency and achieve strategic objectives.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold 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 Finance Data and AI team, you will analyze complex finance processes and deliver innovative data-driven solutions. As a Senior Associate, you will leverage your knowledge to mentor junior team members, build meaningful client relationships, and navigate the complexities of finance analytics to drive impactful results. This role offers the chance to work with advanced technologies and methodologies, enhancing your technical skills while contributing to the success of our clients.

Responsibilities

- Analyze intricate finance processes to develop creative solutions

- Mentor and guide junior team members to enhance their skills

- Build and maintain sturdy relationships with clients to understand their needs

- Navigate the complexities of finance analytics to achieve impactful outcomes

- Utilize advanced technologies and methodologies to improve service delivery

- Collaborate with cross-functional teams to drive project success

- Interpret data to provide actionable insights and recommendations

- Uphold professional standards in every client engagement

What You Must Have

- Bachelor's Degree in Accounting, Finance, Data Processing/Analytics/Science, Computer Science, Operations Management/Research, Engineering, Business Analytics, or Information Technology

- At least 4 years of Advisory client-facing consulting experience

What Sets You Apart

- Master's Degree in Business Administration preferred

- Possessing experience having served in a Data Science, Data Analytics, CFO or Finance and Accounting Consulting role

- Demonstrating proficiency in data analytics and machine learning

- Executing finance process analytics for performance improvement

- Owning delivery of analytics and AI solutions

- Designing data and analytics toolsets including SQL and Python

- Applying predictive analytics to finance use cases

- Collaborating with cross-functional teams for quality outcomes

- Developing executive-level deliverables and implementation roadmap