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求人Condé Nast

Senior Director, Strategy & Planning

Condé Nast

Senior Director, Strategy & Planning

Condé Nast

1 World Trade Center, New York, NY

·

On-site

·

Full-time

·

1w ago

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Job Description

Location:

New York, NY

Condé Nast is seeking a strategic marketing planning and analytics leader to drive forecasting, budgeting, and long-range planning for our global consumer subscription business. This role will serve as the central partner to Marketing, Growth, and Brand teams—owning the financial and subscriber outlook across our portfolio of subscription brands and ensuring that acquisition, retention, and revenue strategies are grounded in rigorous analytics.

The ideal candidate blends marketing performance expertise with strong financial modeling skills, translating subscriber behavior and campaign performance into forward-looking business strategy.

This position reports to the Vice President of Consumer Analytics.

Responsibilities Marketing Forecasting & Growth Planning

  • Lead volume and revenue forecasting process for subscriber acquisition and retention, and evaluate lifetime value across multiple brands and marketing channels.

  • Lead the marketing-driven components of the annual budget, quarterly reforecasting and long-range plan (LRP), ensuring alignment between investment levels, performance targets, and financial outcomes.

  • Develop models that connect marketing spend, channel performance, conversion, churn, pricing, and ARPU to overall revenue and P&L impact.

  • Partner with Growth, Paid Marketing, CRM, Site, Brand, Finance and Operations teams to translate marketing plans into actionable subscriber and revenue forecasts.

  • Provide scenario modeling and sensitivity analysis to guide spend allocation, promotional strategy, and investment decisions.

Subscription Analytics & KPI Leadership

  • Lead subscription performance narrative across brands, synthesizing marketing and retention performance into strategic insights.

  • Lead retention and revenue reporting, including KPI benchmarking and standardized templates across markets.

  • Maintain marketing performance frameworks that clearly connect CAC, LTV, churn, payback, and contribution margin to overall business health.

  • Define measurable objectives and critical metrics for acquisition, engagement, and retention, ensuring alignment with revenue and subscriber growth goals.

Executive Reporting & Strategic Influence

  • Prepare executive-level reports for weekly, monthly, and quarterly leadership updates, translating data into clear business implications.

  • Provide strategic insights on campaign performance, channel mix, audience targeting, and lifecycle marketing initiatives.

  • Serve as a thought partner to senior marketing leadership, influencing long-term growth strategy and resource prioritization.

Modeling, Automation & Data Infrastructure

  • Build and automate statistical and financial models to improve forecast accuracy and marketing planning efficiency.

  • Identify opportunities to streamline reporting processes and enhance data infrastructure for marketing analytics.

  • Leverage SQL, Python, or R to extract, manipulate, and model large-scale subscriber and marketing data.

  • Partner with data and analytics teams to improve forecasting inputs and marketing measurement methodologies.

Qualifications

  • Bachelor’s degree in Analytics, Statistics, Data Science, Business, Marketing, Finance, or a related field (or equivalent experience).

  • 8-10 years of experience in marketing analytics, growth analytics, FP&A, or consulting; subscription-based experience is a plus.

  • Strong understanding of marketing performance metrics (CAC, LTV, Churn, ARPU) and financial forecasting principles.

  • Experience supporting budgeting and long-range planning processes.

  • Strong SQL skills, with proficiency in Python or R a plus.

  • Excellent communication and storytelling skills with the ability to influence cross-functional stakeholders.

The expected base salary range for this position is from $160,000-$200,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.

In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation.

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

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Condé Nastについて

Condé Nast

Condé Nast is an American mass media company founded in 1909 by Condé Montrose Nast and owned by Advance Publications. Its headquarters are located at One World Trade Center in the Financial District of Lower Manhattan, New York City.

5,001-10,000

従業員数

New York

本社所在地

レビュー

4.0

10件のレビュー

ワークライフバランス

3.5

報酬

2.8

企業文化

4.2

キャリア

3.4

経営陣

3.1

72%

友人に勧める

良い点

Creative and collaborative work environment

Flexible work arrangements and remote options

Diverse and inclusive workplace

改善点

Long hours and overwhelming workload

Below market salary and compensation

Disorganized and high-pressure management

給与レンジ

0件のデータ

Intern

Intern · Data Scientist

0件のレポート

$160,000

年収総額

基本給

$160,000

ストック

-

ボーナス

-

$19,720

$184,000

面接体験

40件の面接

難易度

3.2

/ 5

期間

14-28週間

内定率

37%

体験

ポジティブ 69%

普通 16%

ネガティブ 15%

面接プロセス

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

よくある質問

Technical skills

Past experience

Team collaboration

Problem solving