Digital Contact Solutions Manager - San Francisco, United States - PRICE WATERHOUSE COOPERS

PRICE WATERHOUSE COOPERS

Verified Company

San Francisco, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

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 Manager, 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:

Develop new skills outside of comfort zone.
Act to resolve issues which prevent the team working effectively.
Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
Analyse complex ideas or proposals and build a range of meaningful recommendations.
Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
Address substandard work or work that does not meet firm's/client's expectations.
Use data and insights to inform conclusions and support decisionmaking.
Develop a point of view on key global trends, and how they impact clients.
Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
Simplify complex messages, highlighting and summarising key points.
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:

7 year(s)

Preferred Qualifications:

Preferred Fields of Study:

Linguistics, Computer and Information Science, Engineering

Preferred Knowledge/Skills:

Demonstrates extensive-level success with managing the identification and addressing of client needs:

Leading the design and development of Contact Center AI solutions and Conversational AI solutions that improve customer engagement and satisfaction, reduce customer service costs, and increase operational efficiency;
Managing a team of AI consultants, data scientists, developers and designers, providing guidance, support, and mentoring to ensure the team is aligned with the company's strategic goals;
Managing the endtoend AI development lifecycle, from ideation and design to testing, deployment, and maintenance;
Developing and implementing Contact Center AI & Conversational AI strategies that drive user engagement and adoption, as well as business growth and revenue;
Working closely with stakeholders across the organization to ensure that Contact Center and Conversational AI solutions are aligned with company goals and values, and meet regulatory requirements;
Working in Contact-CenterasaService and/or Conversational AI development, with a track record of delivering successful projects; and,
Understanding or experience with Contact Center as a service providers such as Nice, Nuance or Genesys and leading contact center transformation projects.

Demonstrates extensive-level abilities with, and/or a proven record of success as a team leader:

Understanding or experience with conversational AI platforms, such as Google Dialogflow, Amazon Lex, IBM Watson, Microsoft Azure hyper-scalers;
Understanding or experience with Conversational AI platform providers like , , Omilia, Cognigy;
Understanding of data privacy and security regulations and best practices;
Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms;
Leveraging NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, BERT, T5, hugging face and other NLP Models;
Collaborating with client team to understand their business problem and select the appropriate models for