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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 - Center of Excellence for Advanced Analytics.
Responsibilities:
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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 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 partner or employee must be fully vaccinated or test negative for COVID-19 in order to go to any KPMG office, client site or KPMG event. In some circumstances, individuals who are not fully vaccinated may also be required to have a reasonable accommodation to not be fully vaccinated for COVID-19.
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KPMG
June 15, 2022