**Business Title:** Director of Machine Learning & AI, Customer Analytics


**Requisition Number:** 84092 - 59


**Function:** Advisory


**Area of Interest:** Digital Lighthouse


**State:** NJ


**City:** Short Hills


**Description:**

You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.


KPMG is currently seeking a Director to join our KPMG Lighthouse (https://home.kpmg.com/us/en/home/insights/2015/01/data-and-analytics.html?location=us) - Center of Excellence for Advanced Analytics.


Responsibilities:


+ Lead proposal life cycle in the Customer Analytics space across industry by working very closely with KPMG internal experts to develop joint go to market plans and coordinate business development efforts. Lead responses to RFIs and RFPs from potential clients, budgeting time and cost between various internal teams, leading discussions with clients through the proposal process, and demonstrating leadership through the entire process.

+ Partner with other KPMG practices to identify and lead the development of new cutting-edge AI and ML solutions that are specifically focused around improving performance in the Customer Analytics space.

+ Overseeing the creation of machine learning models to gain greater insight on operational and marketing strategies, through all phases of development, from design through training, evaluation, validation, and implementation

+ Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions

+ Learn, communicate and apply best practices to plan, lead, and execute delivery of Data/AI engagements; working across different front office functions (marketing, sales, customer service and customer experience)

+ Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence; and communicate results to executive level audiences

+ Work with clients to discover data sources and create data requests; Lead data discovery and ETL/ELT processes to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)

+ Plan engagement objectives and key deliverables while managing using analytic processes to mitigate risks in data, modeling, validation, and delivery

+ Leverage diagnostic and advanced statistical analytics techniques to design and answer complex business questions

+ Perform customer segmentation, cohort analyses, and create predictive behavioral models

+ Develop and execute analytical strategies using advanced techniques to measure digital content and fitness instructor performance

+ Work closely with our data engineering teams, providing inputs to support the design and build our customer analytics data infrastructure

+ Provide data & analytics products to enable fact based, enterprise decisions that drive the achievement of COA's mission and goals

+ Define, monitor, and report key business metrics for management team; Design, implement and manage various reporting processes and dashboards. Drive the development and improvement of the analytic environment and reporting

+ Leverage data across CRM (Salesforce) and other business & operational platforms using dashboarding tools (Tableau, Power BI) to build a unified metric capability across all operational functions (marketing, sales, negotiations, customer support)


Qualifications:


+ A minimum of ten years of relevant experience and strong knowledge of data analytics and AI/ML; including at least three of the following fields: machine learning, statistics, data mining, operations research, econometrics, natural language processing, business intelligence

+ A minimum of four years of management consulting, advisory, professional services and/or Big 4 consulting experience

+ Master's degree or PhD from an accredited college/university in one or more of the following: Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Econometrics, Physics, Operations Research, or related fields

+ Proficiency in analytics tools and programming languages, tools, and platforms (SAS, R, Python, Spark, Hadoop, Alteryx, etc.), databases (SQL and no-SQL), data visualization tools (Tableau, Power BI, etc.)

+ Foundational understanding of cloud infrastructures and core services across storage, compute, machine learning, integration, etc. [preferred: practitioner certification in at least one of the 3 main cloud providers]

+ Design and building of machine learning solutions including data pipelines (data extraction, feature engineering from structured and unstructured data); And delivering analytics projects using leading processes (strong knowledge of data discovery, cleaning, model selection, validation, and deployment). And development practices such as testing, code design, complexity, and code optimization

+ Proven experience designing customer segmentation models, performing cohort analysis / lookalike modeling, and building predictive models to measure propensities to buy, engage, or churn

+ Proven experience building compelling and engaging data visualization and presentations.

+ Ability to travel when necessary; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future


KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link (https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.


At KPMG any employee, partner or contractor must be fully vaccinated or have a reasonable accommodation for COVID-19 in order to go to any KPMG office, or to work on or in association with a federal contract (unless prohibited by applicable law).


**GL:** 3


**GF:** 15304