PwC Experience Center Stockholm
Deal Data Technology & Analytics, Manager
PwC Experience Center Stockholm, Los Angeles, California, United States, 90079
Overview
Be part of the Deals M&A Transaction Services technology and data solutions practice. Leverage technology and data to drive better deal decisions, help companies originate, create, execute, and realize value from deals, and push the boundaries of innovation in Deals. PwC embeds technology, data analysis, machine learning, and AI for deal-focused solutions.
As a Manager, you’ll work as part of a team of problem solvers to help solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include, but are not limited to:
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
The Opportunity As part of the Deals (M&A) Tech & Data team you work at the intersection of M&A, advanced analytics, and cutting-edge technology. You’ll work with a diverse set of industries, high-profile clients, and complex datasets, leveraging technology to deliver impact at deal speed. You’ll supervise, develop, and coach teams, maintaining top-quality deliverables and leveraging team strengths to meet client expectations. You thrive in a team setting, communicate effectively with both technologists and business partners, and drive client engagement workstreams. You will harness the power of data, data engineering, analytics, Generative AI, and predictive analytics to deliver differentiated insights in complex M&A scenarios, experiment with and deploy emerging AI tools for data extraction, scenario modeling, automated reporting, and client storytelling.
You will collaborate closely with leading Private Equity clients, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and accelerate portfolio company performance. Beyond client delivery, you will contribute to growth by leading pursuits, co-developing innovative offerings in AI-enabled deal analytics, and supporting thought leadership on trends shaping the M&A and Private Equity landscape.
Responsibilities (continued)
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
What You Must Have
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
What Sets You Apart
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 ML frameworks and NLP tools
Hands-on experience with data engineering pipelines and AI/ML platforms, including scalable processing and collaborative notebooks
Familiarity with Generative AI platforms and cloud-native AI services
Proficiency in data visualization (Power BI, Tableau), SQL/Python queries, and data storytelling
Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen
Strong critical thinking, problem-solving, and rapid prototyping with modern analytics and AI tools
Certifications in databases, visualization tools, cloud platforms, or predictive modeling/ML
Ability to travel up to 20%
Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need sponsorship through the H-1B lottery, except as set forth within the policy: https://pwc.to/H-1B-Lottery-Policy.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, marital or citizenship status, or any other status protected by law.
The salary range for this position is: $99,000 - $232,000, plus eligibility for an annual discretionary bonus. For roles based in Maryland, this is the listed salary range. Actual compensation depends on skills, experience, qualifications and location. PwC offers a wide range of benefits; view at: https://pwc.to/benefits-at-a-glance
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Design Services
Santa Monica, CA listings and other job postings appear in this page as examples and do not constitute current openings.
Vans: Manager, Global Consumer Analytics (Product) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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As a Manager, you’ll work as part of a team of problem solvers to help solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include, but are not limited to:
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
The Opportunity As part of the Deals (M&A) Tech & Data team you work at the intersection of M&A, advanced analytics, and cutting-edge technology. You’ll work with a diverse set of industries, high-profile clients, and complex datasets, leveraging technology to deliver impact at deal speed. You’ll supervise, develop, and coach teams, maintaining top-quality deliverables and leveraging team strengths to meet client expectations. You thrive in a team setting, communicate effectively with both technologists and business partners, and drive client engagement workstreams. You will harness the power of data, data engineering, analytics, Generative AI, and predictive analytics to deliver differentiated insights in complex M&A scenarios, experiment with and deploy emerging AI tools for data extraction, scenario modeling, automated reporting, and client storytelling.
You will collaborate closely with leading Private Equity clients, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and accelerate portfolio company performance. Beyond client delivery, you will contribute to growth by leading pursuits, co-developing innovative offerings in AI-enabled deal analytics, and supporting thought leadership on trends shaping the M&A and Private Equity landscape.
Responsibilities (continued)
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
What You Must Have
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
What Sets You Apart
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 ML frameworks and NLP tools
Hands-on experience with data engineering pipelines and AI/ML platforms, including scalable processing and collaborative notebooks
Familiarity with Generative AI platforms and cloud-native AI services
Proficiency in data visualization (Power BI, Tableau), SQL/Python queries, and data storytelling
Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen
Strong critical thinking, problem-solving, and rapid prototyping with modern analytics and AI tools
Certifications in databases, visualization tools, cloud platforms, or predictive modeling/ML
Ability to travel up to 20%
Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need sponsorship through the H-1B lottery, except as set forth within the policy: https://pwc.to/H-1B-Lottery-Policy.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, marital or citizenship status, or any other status protected by law.
The salary range for this position is: $99,000 - $232,000, plus eligibility for an annual discretionary bonus. For roles based in Maryland, this is the listed salary range. Actual compensation depends on skills, experience, qualifications and location. PwC offers a wide range of benefits; view at: https://pwc.to/benefits-at-a-glance
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Design Services
Santa Monica, CA listings and other job postings appear in this page as examples and do not constitute current openings.
Vans: Manager, Global Consumer Analytics (Product) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr