Director of Data Science & Analytics - AI-Driven Insights

Razorfish

Chicago (IL)

On-site

USD 135,000 - 217,000

Full time

4 days ago

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Benefits offered by this job

Paid Family Care for parents and caret

Adoption & Fertility support

Pet adoption assistance

Wellness/health reimbursements

Tuition Assistance

Flexible time off

Matching Gifts

Work Your World program

Diversity & ERG programs

Job summary

Razorfish is seeking a Director, Data Science & Analytics to lead analytics and measurement across complex client engagements. You will translate business and marketing challenges into actionable analytical strategies, guide cross-functional teams, and turn data into clear recommendations that improve customer and business outcomes.

The ideal candidate combines marketing analytics expertise, strategic thinking, client leadership, and strong storytelling skills.

Qualifications

8-10 years of experience in marketing analytics, customer analytics, data science, measurement strategy, or related consulting field.
Experience leading analytics for complex clients or multidisciplinary programs.
Expertise in KPI development, measurement planning, performance analysis, testing, and optimization.
Ability to translate business questions into structured analytical solutions and actionable recommendations.
Strong understanding of marketing channels, customer journeys, segmentation, personalization, and digital experiences.
Familiarity with marketing platforms (Adobe, Salesforce, etc.).
Proven client leadership and executive communication skills.
Experience managing and developing analytics teams.
Bachelor’s degree or equivalent experience in a quantitative/analytical field.

Responsibilities

Lead data, measurement, and analytics strategy across client engagements.
Translate objectives into KPI frameworks, analytical plans, and learning agendas.
Guide performance analysis, optimization, experimentation, segmentation, and forecasting.
Define data, tagging, instrumentation, reporting, and dashboard requirements.
Turn complex findings into concise, executive-ready insights and recommendations.
Advise senior stakeholders on performance, opportunities, risks, and data limitations.
Partner with cross-functional teams including Strategy, Media, and Technology.
Lead and develop analytics professionals with high standards for quality and rigor.
Identify opportunities for data and AI to create measurable client value.
Promote responsible AI use with human oversight and data protection.