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Capacity Planning Manager (Data & Analytics) - Customer Support, Trust & Safety

TikTok

Capacity Planning Manager (Data & Analytics) - Customer Support, Trust & Safety

TikTok

Dublin, Ireland

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Parental Leave

Flexible Hours

Learning

Healthcare

필수 스킬

Python

React

Node.js

Responsibilities

Trust & Safety Customer Support Operations team will serve as a strategic architect of cost efficiency and operational resilience. This team is accountable for shaping end-to-end forecasting and capacity strategies that directly influence business performance, risk management, and investment decisions.

You will partner closely with cross-functional leaders to translate business priorities into actionable capacity plans, optimize global resource allocation, and proactively identify structural opportunities to improve efficiency and sustainability. Through data-driven insights and strong executive stakeholder influence, you will ensure operational capacity is continuously aligned with evolving business demands.

  • Own and drive end-to-end demand forecasting and capacity planning for Trust & Safety Customer Support via data analytics tools, modeling, and automation (e.g., pandas, Num Py, Excel etc.), ensuring alignment with global business objectives, cost efficiency, and operational readiness. This includes exercising independent judgment to recommend and influence key resource allocation decisions in response to changing business needs.

  • Design, implement, and continuously optimize planning frameworks, processes, and methodologies that translate strategic objectives into executable capacity plans. Ensure planning outputs materially contribute to business outcomes to enable targets on productivity and cost sustainability.

  • Act as a strategic thought partner to Lines of Business (LoB) stakeholders, integrating complex and evolving requirements into holistic capacity strategies. Influence alignment across functions to ensure operational plans are tightly connected to business priorities.

  • Build, maintain, and evolve forecasting and capacity models that balance cost, capacity, service levels, and user satisfaction across multiple Lo Bs and geographies.

  • Analyze demand, productivity, and capacity data to surface trends, risks, and opportunities, and convert insights into clear recommendations for senior stakeholders and decision-makers.

  • Drive BPO budgeting, cost optimization initiatives, and financial governance to ensure effective workforce allocation, cost management, and adherence to financial controls.

  • Provide functional leadership through expertise and influence, guiding stakeholders on capacity planning best practices, trade-offs, and implications, while fostering a culture of analytical rigor, accountability, and continuous improvement.

Qualifications

Minimum Qualifications

  • Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Business Analytics, Economics, Supply Chain Management).

  • Advanced proficiency in Python for data analysis, modeling, and automation (e.g., pandas, Num Py), as well as strong expertise in Microsoft Excel for advanced modeling and scenario analysis.

  • Proven experience (5+ years) in demand forecasting and capacity planning within a large-scale, multi-channel, multi-site technology or operations environment.

  • Strong analytical and problem-solving skills, with demonstrated ability to structure ambiguous problems, analyze complex datasets, and drive data-backed decisions.

  • Proven experience designing, recommending and executing complex planning initiatives across multiple stakeholders, with the ability to identify risks, manage trade-offs, and recommend pragmatic solutions.

  • Proficiency in Chinese and English is required to collaborate with global partners, including workforce planning teams and customer supporting teams based in Mandarin-speaking regions. These interactions include leading and participating in meetings that are conducted in Chinese as well as corresponding in chat or emails.

Preferred Qualifications

  • Proficiency in data analytics and visualization tools (e.g., SQL, Power BI, Tableau).

  • Experience supporting Customer Support, Trust & Safety, or other high-volume, service-driven operations.

  • Experience operating in fast-paced, ambiguous environments with frequent change and competing priorities.

  • Resilience and a commitment to self-care, given the emotional demands of the Trust & Safety domain.

총 조회수

1

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모의 지원자 수

0

스크랩

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TikTok 소개

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

직원 수

Los Angeles

본사 위치

$220B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.7

문화

4.1

커리어

3.2

경영진

2.9

68%

친구에게 추천

장점

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

단점

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

연봉 정보

49개 데이터

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3개 리포트

$143,750

총 연봉

기본급

$125,000

주식

-

보너스

-

$126,500

$163,300

면접 경험

2개 면접

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit