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PwC · 1 day ago

Deal Data Technology & Analytics, Manager

Washington, DC

Full-time

Hybrid

Mid, Senior Level

$99K/yr - $232K/yr

5+ years exp

PwC is a leading professional services firm that helps organizations realize the potential of mergers, acquisitions, and capital markets. As a Manager in the Technology and Data Solutions practice, you will leverage technology and data to drive better deal decisions and execute transactions more effectively, while supervising and coaching teams to maintain top-quality deliverables.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Lead client engagement workstreams, manage multiple projects, and build strong stakeholder relationships

Work with deal teams to design and deliver analytics solutions that drive investment decisions, operational improvements, and portfolio value creation

Analyze complex problems and communicate actionable insights through data visualization, programming, and advanced analytics

Build and automate scalable data pipelines, cleansing, reporting, and workflows using platforms such as Databricks, low-code/no-code tools, and AI-assisted pipelines

Apply Generative AI and machine learning models for data synthesis, risk assessment, churn prediction, synergy estimation, and financial forecasting

Establish and maintain exceptional standards in deliverables while mentoring junior team members and fostering a collaborative, resilient team culture

Qualification

Data analysisMachine learningData engineeringGenerative AISQLPythonData visualizationCloud platformsStakeholder engagementCritical thinkingProblem-solvingTeam management

Required

Bachelor's degree in relevant fields, including engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting

5+ years' experience across data and technology including client-facing consulting work

Ability to travel up to 20%

Preferred

Advanced degree (master's preferred) with consulting and deals/M&A experience

Track record of managing teams, multiple engagements, and competing priorities

Demonstrated ability to influence stakeholders, align diverse viewpoints, and contribute to business development, practice growth, and thought leadership

Strong proficiency in SQL, Python, or R, including experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools (spaCy, HuggingFace)

Hands-on experience with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks

Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI)

Proficiency in data visualization (Power BI, Tableau), SQL/Python queries, and data storytelling—translating analytics into persuasive outputs for senior stakeholders

Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen and understanding of key financial statements

Skilled at critical thinking, problem-solving, and rapid prototyping with modern analytics and AI tools

Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)