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About the Role

As an experienced Lead AI and Data Science Engineer II – Marketing Measurement, you will have the opportunity to share new ideas and collaborate on projects as a consultant without the extensive demands of travel, working in a collaborative environment under Deloitte's Project Delivery Talent Model for long-term, onsite client service delivery.

Responsibilities

Provide technical and analytical leadership for marketing measurement initiatives.
Guide teams in designing rigorous measurement approaches.
Turn findings into investment recommendations.
Improve the quality and consistency of analytics delivery.
Lead the design and evaluation of experimental and quasi-experimental analyses to measure marketing effectiveness and incremental impact.
Set measurement approaches for geo-based test-and-control studies, paid media, and platform ecosystems such as Google and YouTube.
Guide the application of causal inference, incrementality measurement, Marketing Mix Modeling (MMM), and A/B testing.
Translate measurement results into clear recommendations on marketing strategy and investment allocation.
Establish and promote standards for data validation, analytical quality, documentation, and communicating assumptions and limitations.
Review analytical work and provide technical direction, coaching, and feedback to team members.
Lead client workstreams, coordinate across business and technical teams, and manage priorities and delivery risks.
Present findings and recommendations to senior stakeholders in clear, business-friendly language.
Escalate material issues to engagement management.
Identify opportunities to improve measurement processes, workflows, and outcomes.
Communicate regularly with Engagement Managers, project team members, and representatives from various functional and/or technical teams.
Escalate any matters that require additional attention and consideration from engagement management.
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes.
Implement leading practice workflows, address deficits in quality, and drive operational outcomes.

Requirements

Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to provide clear guidance to others.
10+ years of relevant experience in data science, marketing analytics, marketing measurement, or a related field.
Advanced SQL proficiency and substantial hands-on experience using Python or R for analysis.
Demonstrated experience leading marketing measurement or analytics initiatives.
Strong experience with MMM, causal inference, incrementality measurement, geo-based test-and-control design, experiment design, and A/B testing.
Ability to assess data quality and analytical methods, and to explain limitations and assumptions.
Proven ability to guide teams and communicate recommendations to senior business and technical stakeholders.
Limited immigration sponsorship may be available.
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Skills

AI
Data Science
Marketing Measurement
Data and Analytics
Experimental analysis
Quasi-experimental analysis
Marketing effectiveness
Incremental impact measurement
Geo-based test-and-control studies
Paid media measurement
Google platform measurement
YouTube platform measurement
Causal inference
Incrementality measurement
Marketing Mix Modeling (MMM)
A/B testing
Marketing strategy
Investment allocation
Data validation
Analytical quality
Documentation
Assumption communication
Limitation communication
SQL
Python
R
Campaign effectiveness management
Customer segmentation
Promotions management
Promotions effectiveness

Location

Atlanta, Georgia, United States
Austin, Texas, United States
Baltimore, Maryland, United States
Bellevue, Washington, United States
Birmingham, Alabama, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Cincinnati, Ohio, United States
Cleveland, Ohio, United States
Columbus, Ohio, United States
Costa Mesa, California, United States
Dallas, Texas, United States
Davenport, Iowa, United States
Des Moines, Iowa, United States
Detroit, Michigan, United States
Fort Worth, Texas, United States
Hartford, Connecticut, United States
Hermitage, Tennessee, United States
Houston, Texas, United States
Huntsville, Alabama, United States
Indianapolis, Indiana, United States
Jersey City, New Jersey, United States
Kansas City, Missouri, United States
Los Angeles, California, United States
McLean, Virginia, United States
Mechanicsburg, Pennsylvania, United States
Memphis, Tennessee, United States
Milwaukee, Wisconsin, United States
Minneapolis, Minnesota, United States
Morristown, New Jersey, United States
Nashville, Tennessee, United States
New Orleans, Louisiana, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States
Portland, Oregon, United States
Princeton, New Jersey, United States
Raleigh, North Carolina, United States
Richmond, Virginia, United States
Rosslyn, Virginia, United States
Sacramento, California, United States
Salt Lake City, Utah, United States
San Antonio, Texas, United States
San Diego, California, United States
San Francisco, California, United States
San Jose, California, United States
Seattle, Washington, United States
St. Louis, Missouri, United States
Stamford, Connecticut, United States
Tulsa, Oklahoma, United States
Westlake, Texas, United States

Work Type

Onsite
Full-time

Experience Level

10+ years of relevant experience

Education Level

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Salary/Compensations

$122,000 to $240,500

Benefits

Discretionary annual incentive program
Broad range of benefits

About the Company

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated solutions across software, data, AI, networks, and cloud infrastructure.
These solutions are powered by engineering for business advantage, helping transform mission-critical operations.
AI & Data teams help clients modernize technology and data platforms while delivering scalable, high-value outcomes tailored to their business needs.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges.
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities.
At Deloitte, purpose is synonymous with how we work every day.
It defines who we are.
Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
From entry-level employees to senior leaders, we believe there’s always room to learn.
We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship.
From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP.
Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Deloitte is committed to providing reasonable accommodations for people with disabilities.
We consider candidates on merit and that we provide an equal opportunity to eligible applicants.