Lead AI and Data Science Engineer II– Marketing Measurement

Deloitte • Jersey City, NJ

2d • $122,000 - $240,500 • Onsite

About The Position

As a Lead AI and Data Science Engineer II – Marketing Measurement at Deloitte, you will provide technical and analytical leadership for marketing measurement initiatives. You will guide teams in designing rigorous measurement approaches, translate findings into investment recommendations, and improve the quality and consistency of analytics delivery. The role is part of Deloitte’s Project Delivery Talent Model, tailored for long-term, onsite client service delivery, and offers collaborative project work without extensive travel demands.

You will lead client workstreams and coordinate across business and technical teams, supporting improvement, optimization, and transformation of processes. You will guide and review team members’ analytical work, communicate results and recommendations to senior stakeholders, manage priorities and delivery risks, and escalate material issues to engagement management. The role requires an ability to work independently and collaboratively, build professional relationships, deliver high-quality work on deadlines, and provide clear guidance to others.

The AI & Engineering team builds, deploys, and operates integrated solutions across software, data, AI, networks, and cloud infrastructure. AI & Data teams help clients modernize technology and data platforms and deliver scalable outcomes tailored to business needs. The role may be based in one of 52 listed U.S. locations and requires an average of 10% travel, depending on the work and clients served. The estimated salary range is $122,000 to $240,500, with possible eligibility for a discretionary annual incentive program. Deloitte also describes professional development opportunities, including on-the-job learning, formal programs, mentorship, and leadership opportunities.

Requirements

• 10 or more 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 explain limitations and assumptions.
• Proven ability to guide teams and communicate recommendations to senior business and technical stakeholders.
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
• Ability to travel an average of 10%, based on work and clients served.
• Ability to work independently and collaboratively 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, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to provide clear guidance to others.

Nice To Haves

• Experience with campaign effectiveness management.
• Experience with customer segmentation.
• Experience measuring promotions management and effectiveness.
• Additional experience in marketing analytics.

Responsibilities

• 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 communication of 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, and escalate material issues to engagement management.
• Identify opportunities to improve measurement processes, workflows, and outcomes.
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from functional and technical teams, escalating matters that require engagement management attention.
• Independently and collaboratively lead client engagement workstreams focused on process improvement, optimization, and transformation, including implementing leading-practice workflows, addressing quality deficits, and driving operational outcomes.

Benefits

• Possible eligibility for a discretionary annual incentive program.
• Professional development opportunities, including on-the-job learning, formal development programs, mentorship, and leadership opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior