PricewaterhouseCoopers - Seattle, WA

posted 11 days ago

Full-time - Senior
Seattle, WA
Professional, Scientific, and Technical Services

About the position

As a Data and Analytics professional at PwC, you will leverage advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making for clients. This role emphasizes the importance of strategic advisory, team leadership, and the ability to navigate complex business challenges while fostering a diverse and inclusive team environment.

Responsibilities

  • Utilize advanced analytical techniques to extract insights from large datasets.
  • Drive data-driven decision-making for clients by leveraging data manipulation, visualization, and statistical modeling.
  • Lead the design and development of Contact Center AI and Conversational AI solutions.
  • Manage a team of AI consultants, data scientists, developers, and designers, providing guidance and support.
  • Oversee the end-to-end AI development lifecycle from ideation to deployment and maintenance.
  • Develop and implement strategies for Contact Center AI and Conversational AI to enhance user engagement and business growth.
  • Collaborate with stakeholders to ensure AI solutions align with company goals and regulatory requirements.
  • Analyze conversational data to build NLP modeling pipelines for various AI applications.
  • Communicate effectively with clients to validate outcomes and share insights.
  • Coach and mentor team members to enhance their performance and effectiveness.

Requirements

  • Bachelor's Degree in a relevant field.
  • 9 years of experience in data analysis or related fields.
  • Extensive experience in managing client needs and delivering AI solutions.
  • Proven record of success as a team leader in AI and data analytics.
  • Strong understanding of conversational AI platforms and technologies.
  • Experience with natural language processing (NLP) and machine learning (ML).
  • Ability to analyze and interpret data to drive business value.

Nice-to-haves

  • Experience with Contact Center as a Service providers like Nice, Nuance, or Genesys.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
  • Knowledge of data privacy and security regulations.
  • Experience with chatbot development frameworks like RASA or Microsoft Bot Framework.
  • Understanding of Large Language Models and NLG solutions.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k plan
  • Paid holidays
  • Vacation pay
  • Annual discretionary bonus
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