Director of Marketing Measurement & Growth Impact

Prudential Annuities Distributors (PAD)

Newark (NJ)

On-site

USD 159,000 - 238,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
401(k) match
Pension plan
Wellness program
Education benefit
Stock purchase plan

Job summary

Prudential Financial, Inc. seeks a Director of Marketing Effectiveness & Measurement in the Newark area to design, build, and operate next-generation measurement capabilities grounded in causality and continuous optimization.

You will lead a team and collaborate across Marketing, Media, Growth, Finance, and Product to optimize ROI. Responsibilities include defining metrics, building frameworks for causal impact, and translating insights into investment decisions.

Qualifications

  • Deep expertise in marketing measurement, experimentation, and causal inference.
  • Proven experience building and scaling measurement systems and teams.
  • Strong command of modern marketing analytics ecosystems.
  • Demonstrated ability to connect analytics to business outcomes and ROI.

Responsibilities

  • Define and drive marketing measurement strategy across channels and units.
  • Build always-on experimentation and causal inference frameworks.
  • Translate insights into budget, audience, and creative optimization.
  • Lead data/tech ecosystem requirements for scalable measurement.
  • Scale the measurement function and develop talent, including external partnerships.
  • Influence senior stakeholders with clear, business-focused analytics.

Skills

Marketing measurement
Experimentation
Causal inference
Leadership
Cross-functional collaboration

Job description

Prudential Financial, Inc. seeks a Director of Marketing Effectiveness & Measurement in the Newark area to design, build, and operate next-generation measurement capabilities grounded in causality and continuous optimization.

You will lead a team and collaborate across Marketing, Media, Growth, Finance, and Product to optimize ROI. Responsibilities include defining metrics, building frameworks for causal impact, and translating insights into investment decisions.

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