Merkle
VP, Commerce Analytics – Merkle
Senior analytics leader responsible for driving growth across a strategic retail client portfolio and expanding enterprise analytics offerings.
About The Role •
Drive measurable business impact in marketing, sales, merchandising, pricing, supply chain, customer experience, and data engineering. •
Lead the growth and positioning of analytics capabilities, expanding adoption of advanced analytics and AI solutions across industries. •
Report to SVP, Analytics.
Responsibilities Partner with Strategic Retail Clients
Be a senior advisor, embedding analytics into business‑critical functions such as marketing, sales, merchandising, pricing, supply chain, store operations, and customer experience.
Act as a strategic leader and hands‑on practitioner, engaging at the C‑suite level while handling solutioning, code reviews, and technical discussions.
Build and lead hybrid teams (onshore + offshore/Global Delivery) delivering scalable, high‑quality, innovative analytics solutions.
Drive measurable business impact while managing revenue growth and margin performance across client engagements.
Accelerate Analytics Growth
Collaborate with enterprise sales and client partners to identify, shape, and pursue new analytics opportunities across retail and adjacent markets.
Define and evangelize an analytics vision extending beyond marketing and media into sales, pricing, merchandising, supply chain, and assortment optimization.
Lead solutioning, go‑to‑market strategies, and proposal development to position the company as a differentiated partner.
Drive thought leadership through market POVs, competitive intelligence, and external representation at industry events.
Lead and Inspire Teams
Build, mentor, and scale hybrid analytics and cross‑functional teams, fostering innovation, accountability, and excellence.
Create best practices, governance models, and scalable delivery frameworks for analytics and data engineering programs.
Stay ahead of market trends in data science, AI/ML, data engineering, and emerging retail technologies.
Qualifications
15+ years of experience in analytics consulting or professional services with a strong focus on retail and commercial analytics.
Bachelor’s or Master’s degree in a quantitative or business discipline (e.g., Mathematics, Statistics, Economics, Data Science, Engineering, or MBA).
Experience building and scaling analytics programs across sales, pricing, merchandising, supply chain, and go‑to‑market functions.
Demonstrated success leading hybrid teams and managing revenue and margin outcomes.
Hands‑on practitioner capable of deep technical analysis, solution design, and analytics execution.
Strong grounding in data engineering and cloud platforms (Azure, AWS, GCP).
Familiarity with competitive intelligence techniques, web scraping, and modern data pipelines.
Exceptional communication skills, executive presence, and ability to influence at the C‑suite level.
Open to travel.
Salary and Benefits Annual base salary range: $196,000–$316,250 (subject to experience, skills, and legal factors). Eligible for discretionary incentive compensation.
Medical, vision, and dental insurance
Life insurance
Short‑term and long‑term disability insurance
401(k)
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Location and Employment New York, United States • Full time • Permanent
Equal Employment Opportunity Dentsu is committed to providing equal employment opportunities to all applicants and employees, regardless of race, color, national origin, sex, sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices, citizenship status, genetic information, veteran status, or any other basis protected under applicable law.
Accommodation for Disabilities We provide reasonable accommodation for individuals with disabilities and disabled veterans. If you need an accommodation due to a disability, please contact
ApplicantAccommodations@dentsu.com .
#J-18808-Ljbffr
About The Role •
Drive measurable business impact in marketing, sales, merchandising, pricing, supply chain, customer experience, and data engineering. •
Lead the growth and positioning of analytics capabilities, expanding adoption of advanced analytics and AI solutions across industries. •
Report to SVP, Analytics.
Responsibilities Partner with Strategic Retail Clients
Be a senior advisor, embedding analytics into business‑critical functions such as marketing, sales, merchandising, pricing, supply chain, store operations, and customer experience.
Act as a strategic leader and hands‑on practitioner, engaging at the C‑suite level while handling solutioning, code reviews, and technical discussions.
Build and lead hybrid teams (onshore + offshore/Global Delivery) delivering scalable, high‑quality, innovative analytics solutions.
Drive measurable business impact while managing revenue growth and margin performance across client engagements.
Accelerate Analytics Growth
Collaborate with enterprise sales and client partners to identify, shape, and pursue new analytics opportunities across retail and adjacent markets.
Define and evangelize an analytics vision extending beyond marketing and media into sales, pricing, merchandising, supply chain, and assortment optimization.
Lead solutioning, go‑to‑market strategies, and proposal development to position the company as a differentiated partner.
Drive thought leadership through market POVs, competitive intelligence, and external representation at industry events.
Lead and Inspire Teams
Build, mentor, and scale hybrid analytics and cross‑functional teams, fostering innovation, accountability, and excellence.
Create best practices, governance models, and scalable delivery frameworks for analytics and data engineering programs.
Stay ahead of market trends in data science, AI/ML, data engineering, and emerging retail technologies.
Qualifications
15+ years of experience in analytics consulting or professional services with a strong focus on retail and commercial analytics.
Bachelor’s or Master’s degree in a quantitative or business discipline (e.g., Mathematics, Statistics, Economics, Data Science, Engineering, or MBA).
Experience building and scaling analytics programs across sales, pricing, merchandising, supply chain, and go‑to‑market functions.
Demonstrated success leading hybrid teams and managing revenue and margin outcomes.
Hands‑on practitioner capable of deep technical analysis, solution design, and analytics execution.
Strong grounding in data engineering and cloud platforms (Azure, AWS, GCP).
Familiarity with competitive intelligence techniques, web scraping, and modern data pipelines.
Exceptional communication skills, executive presence, and ability to influence at the C‑suite level.
Open to travel.
Salary and Benefits Annual base salary range: $196,000–$316,250 (subject to experience, skills, and legal factors). Eligible for discretionary incentive compensation.
Medical, vision, and dental insurance
Life insurance
Short‑term and long‑term disability insurance
401(k)
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Location and Employment New York, United States • Full time • Permanent
Equal Employment Opportunity Dentsu is committed to providing equal employment opportunities to all applicants and employees, regardless of race, color, national origin, sex, sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices, citizenship status, genetic information, veteran status, or any other basis protected under applicable law.
Accommodation for Disabilities We provide reasonable accommodation for individuals with disabilities and disabled veterans. If you need an accommodation due to a disability, please contact
ApplicantAccommodations@dentsu.com .
#J-18808-Ljbffr