Senior Director Financial Services Analytics

Dentsuaegis; USA; Hybrid; USD 150.000 - 230.000; Vollzeit

Benefits dieser Stelle

Medical, dental, and vision coverage

Life and disability insurance

401(k)

Paid time off

Paid holidays, sick and parental leave

Zusammenfassung

Dentsuaegis in the United States is seeking a senior analytics leader to drive customer analytics and data science for insurance client accounts. You will own executive relationships, guide analytics work, and blend hands-on modeling with roadmap setting to turn customer and channel data into business decisions.

You will lead onshore and offshore teams, set governance and modeling standards, and shape testing design for incrementality and campaign measurement, while collaborating with strategy,

Qualifikationen

• 15+ years in analytics or data science with leadership across multiple clients or portfolios.
• Hands-on modeling in Python or R, including code review.
• Direct response analytics with campaign measurement and holdout design.
• Experience leading analytics initiatives from design to deployment.

Aufgaben

• Advise senior client leaders and align analytics priorities with business outcomes.
• Set multi-year roadmaps, modeling standards, and governance for regulated work.
• Build and validate segmentation, propensity, and LTV models; guide implementation.
• Design incrementality tests and refine targeting and investment decisions.
• Shape contact strategy across timing, channel mix, and efficiency thresholds.
• Lead analytics teams across onshore and offshore delivery; support proposals.

Kenntnisse

Leadership

Executive communication

Python

R

Campaign measurement

Propensity modeling

LTV modeling

Incrementality testing

Stakeholder alignment

Tools

Python

R

Jobbeschreibung

Role overview

Lead customer analytics and data science for insurance client accounts, owning both executive relationships and the work delivered by analytics teams. The role combines hands‑on modeling with roadmap setting, campaign measurement, and partnership across strategy, marketing, data, engineering, and operations. The focus is turning customer, call center, and omnichannel data into decisions about acquisition, retention, customer value, and investment effectiveness.

Responsibilities

• Advise senior client leaders and align analytics priorities with business outcomes, including in ambiguous or changing environments.
• Set multi-year account roadmaps, modeling standards, and data quality and governance practices for regulated work.
• Build and validate segmentation, propensity, response, and customer lifetime value models; guide implementation and measurement.
• Design and assess incrementality tests, including holdouts, and use findings to refine campaign targeting and investment.
• Shape contact strategy across timing, frequency, channel mix, and efficiency thresholds; present findings as clear executive recommendations.
• Lead and develop analytics teams, coordinate with client and delivery partners on data and platform needs, and contribute to proposals and account growth.

Requirements

• 15+ years in analytics, data science, or a related field, including leadership of modeling delivery across multiple clients or complex portfolios and management of senior leaders.
• Hands‑on modeling experience in Python or R, including code review.
• Direct response analytics experience, including campaign measurement, holdout and incrementality design, response modeling, and acquisition cost economics.
• Working depth in propensity, response, and customer lifetime value models, with the ability to assess features, validation, and implementation.
• Proven ownership of analytics initiatives from model design through deployment and measurement.
• Executive communication skills and experience leading analytics teams across onshore and offshore delivery.

Benefits and work setup

• Full‑time, permanent role; the listing identifies Maryland as the remote location and notes that travel may be needed for client accounts.
• Hybrid office attendance may apply to employees who live within commuting distance of a hub; expectations vary by location and role.
• Listed benefits include medical, dental, and vision coverage; life and disability insurance; a 401(k); flexible paid time off; paid holidays, sick and safe leave, and parental leave.