トレンド企業

Scopely
Scopely

Mobile game developer

Sr. Director, Data & Insights - Monopoly GO!

職種データサイエンス
経験ディレクター級
勤務地ES - Spain; GB - United Kingdom; IE - Ireland; PT - Portugal
勤務オンサイト
雇用正社員
掲載1週間前
応募する

Scopely is looking for a Senior Director, Data & Insights to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements)

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas:

Analytics Engineering — via Director/Lead

  • Define the vision and operating model for Analytics Engineering as the company scales
  • Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
  • Drive the adoption of a data product mindset across all areas
  • Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
  • Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
  • Own the principles behind the metrics layer as a single source of truth across the company
  • Maintain a strategic relationship with the central Scopely data function

Data Science — via Director/Lead

  • Set direction and provide feedback for the Data Science roadmap
  • Identify and bridge the gap in missing Data Science models and frameworks
  • Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science

Product Analytics — via Director/Lead

  • Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
  • Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
  • Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

  • Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
  • Coach and develop your direct reports
  • Own the data roadmap and OKRs; serve as the data voice at the product executive level
  • Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

  • 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
  • Proven track record in live-service mobile games or high-scale consumer apps
  • Deep expertise in the modern data stack: dbt, Snowflake/Big Query, Looker/Tableau/Hex
  • Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
  • Strong command of experimentation design, causal inference, and ML systems in production
  • Leads through delegation — comfortable owning strategy and outcomes without owning execution
  • Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the Fox Next, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

閲覧数

0

応募クリック

0

Mock Apply

0

スクラップ

0

Scopelyについて

Scopely

Scopely

Acquired

Scopely, Inc. is an American video game developer and publisher. The company is headquartered in Culver City, California, with offices across North America, Central America, EMEA and Asia, with its largest location in Barcelona, Spain.

1,001-5,000

従業員数

Culver City

本社所在地

$4.9B

企業価値

レビュー

10件のレビュー

3.6

10件のレビュー

ワークライフバランス

2.8

報酬

4.0

企業文化

4.2

キャリア

2.5

経営陣

2.3

62%

知人への推奨率

良い点

Supportive team and colleagues

Good benefits and compensation

Diverse and inclusive environment

改善点

Poor management and leadership

Heavy workload and long hours

Limited career advancement opportunities

給与レンジ

131件のデータ

Junior/L3

Intern

L3

Junior/L3 · Data Analyst

0件のレポート

$43,910

年収総額

基本給

-

ストック

-

ボーナス

-

$37,324

$50,496

面接レビュー

レビュー4件

難易度

3.3

/ 5

期間

14-28週間

内定率

25%

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Multiple Technical Interviews

5

HR Screening

6

Take-home Assignment

7

Offer

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

System Design

Past Experience