Data Analytics & AI - Customer Data & Platforms Director

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Director, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Support team to disrupt, improve and evolve ways of working when necessary.
• Arrange and sponsor appropriate assignments and experiences to help people realise their potential and support their long-term aspirations.
• Identify gaps in the market and spot opportunities to create value propositions.
• Look for opportunities to scale efficiencies and new ways of working across multiple projects and environments.
• Create an environment where people and technology thrive together to accomplish more than they could apart.
• I promote and encourage others to value difference when working in diverse teams.
• Drive and take ownership for developing connections that help deliver what is best for our people and stakeholders.
• Influence and facilitate the creation of long-term relationships which add value to the firm.
• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
12 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thought leader-level abilities with, and/or a proven record of success in the following areas:

• Knowledge of customer analytics methods related to acquisition / retention analytics, customer loyalty / LTV analytics, journey analytics, etc.
• Utilizing ELA and algorithms including Machine/Deep learning, Multivariate Statistics (e.g., Clustering, Principal Component Analysis, Regression, Hypothesis testing and Factor Analysis), Optimization, Data Mining, Exploration, and Manipulation;
• Leveraging structured and unstructured data for solving analytical problems;
• Overseeing development and deployment of analytical solutions as part of a larger automation pipeline;
• Using of common cloud platforms (e.g., Azure, AWS and GCP) for manipulating large data sources, model, development, and deployment;
• Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis as required;
• Collaborating with client team to understand their business problems, determine resolutions through appropriate analytical techniques, and guide engagement team’s execution;
• Explaining analytical/quantitative outcomes to internal/client teams and how those outcomes realize business value;
• Being able to structure and select the appropriate analytical techniques for the problem at hand;
• Being able to structure, write, communicate and facilitate client presentations;
• Leading business development through ongoing client relationship management and contributions to client proposals;
• Directing and collaborating with associates / senior associates through coaching, providing feedback, and guiding work performance; and,
• Participating in internal thought leadership discussions around practice growth, innovation and accelerator developments.

Demonstrates thought leader-level abilities as a team leader, emphasizing the following areas:

• Providing guidance and demonstrating fluency with SQL, Python (e.g. Scikit-Learn, Pandas, SciPy etc.), Relational storage (SQL), Non-relational storage (NoSQL); and,
• Providing guidance on capabilities and functionalities of using Alteryx, R, tools for data visualization (Tableau, PowerBI, etc), Graph databases (e.g. CosmoDB, Neo4j).

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, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

For positions in Albany (NY), California, Colorado, Nevada, New York City, Washington State, or Westchester County (NY), please visit the following link for pay range information: https://pwc.to/payrange-v1-advisorydirector

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