PwC
Deal Data Technology & Analytics Manager – PwC
Our Technology and Data Solutions practice within Deals M&A Transaction Services offers an opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. As a Manager, you will lead client engagement workstreams, develop data‑driven solutions and drive deal decisions using advanced analytics, machine learning and AI.
Key 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.
Required Qualifications
Bachelor’s degree in an engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance or Accounting discipline.
5+ years of experience across data and technology, including client‑facing consulting work.
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.
Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen and understanding of key financial statements.
Ability to travel up to 20%.
Desired Qualifications
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.
Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI).
Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP) or predictive modeling/ML (Python, SAS).
Contact & Application Learn more about how we work:
https://pwc.to/how-we-work
PwC does not intend to hire candidates who will require or need H‑1B sponsorship, except as set forth within the following policy:
https://pwc.to/H-1B-Lottery-Policy .
PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran or marital status, or any other status protected by law.
For qualified applicants impacted by the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, arrest or conviction records may be considered for employment in accordance with these laws.
#J-18808-Ljbffr
Key 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.
Required Qualifications
Bachelor’s degree in an engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance or Accounting discipline.
5+ years of experience across data and technology, including client‑facing consulting work.
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.
Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen and understanding of key financial statements.
Ability to travel up to 20%.
Desired Qualifications
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.
Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI).
Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP) or predictive modeling/ML (Python, SAS).
Contact & Application Learn more about how we work:
https://pwc.to/how-we-work
PwC does not intend to hire candidates who will require or need H‑1B sponsorship, except as set forth within the following policy:
https://pwc.to/H-1B-Lottery-Policy .
PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran or marital status, or any other status protected by law.
For qualified applicants impacted by the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, arrest or conviction records may be considered for employment in accordance with these laws.
#J-18808-Ljbffr