
A new day for the enterprise.
Manager, Technical Support Engineering – Workday Platform
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
Join our team and experience Workday! We’re a company that brings passion, customer focus, and technical innovation to enterprise applications and we believe in having fun while we do it. We work hard and take our commitments seriously, but one of our core values is fun, and we live that every day.
We’re looking for a Manager, Technical Support Engineering to lead our Analytics Platform support team. This role blends people leadership, technical depth, and strategic collaboration to deliver world-class support to Workday customers. If you want to do meaningful work with people who care deeply about both excellence and culture, this is the place.
About the Role
People & Customer Leadership
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Lead, mentor, and grow a high-performing global team of analytics support engineers, fostering an inclusive, collaborative culture
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Build deep Workday Analytics domain expertise across Report Writer, Prism, People Analytics, Discovery Boards, and Accounting Center
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Ensure world-class customer outcomes by guiding resolution of complex analytics and reporting issues
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Maintain high customer satisfaction through timely case handling, clear communication, and proactive guidance
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Participate in and help manage a 24×7 on-call rotation, defining clear escalation paths for critical analytics incidents
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Conduct post-mortems and root-cause reviews to strengthen operational resilience and prevent recurrence
Technical Excellence & Cross-Functional Execution
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Drive deep technical investigation across analytics performance, query optimization, indexing, Prism pipelines, and system health diagnostics
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Identify and prioritize reliability and performance improvement opportunities across Support, Engineering, and Cloud Ops
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Develop metrics, dashboards, and trend reporting to monitor analytics system performance and support readiness
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Partner with Product, Engineering, and Customer Success to influence roadmap direction based on real customer signals
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Translate technical findings and customer needs into scalable processes, playbooks, and operational improvements
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Shape support strategy for Workday Analytics by converting business needs into actionable engineering and support initiatives
About You
Technical Skills & Knowledge
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Debugging & Troubleshooting: Expertise in diagnosing complex system issues, including memory leaks, query bottlenecks, and configuration errors
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Log Analysis: Strong ability to parse, interpret, and correlate large-scale log data to identify root causes and performance trends
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Distributed Systems: Understanding of distributed computing concepts such as load balancing, parallel processing, concurrency, fault tolerance, and scaling analytics workloads
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Data Analysis & Tooling: Proficiency in SQL for data extraction, transformation, and validation; hands-on experience with Python for data analysis, automation, and custom tooling
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Analytics Frameworks: Familiarity with BI/reporting platforms such as Workday Prism Analytics, People Analytics, or comparable enterprise analytics tools
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Jupyter Notebooks & Scripting: Experience using notebooks or similar tools for testing models, documenting insights, and reproducible analysis workflows
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System Performance: Strong knowledge of performance methodologies for optimizing reports, integrations, and analytics pipelines
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Business Data Structures: Working knowledge of financial and operational data (e.g., balance sheets, income statements, ledger accounts, workforce analytics)
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Communication of Insights: Ability to translate technical findings into clear, actionable recommendations for customers, leadership, and engineering partners
Qualifications
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Bachelor’s degree in Computer Science, Information Management, Statistics, or related field; advanced degree a plus
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6+ years of experience in technical support, analytics, or system performance, with 2+ years leading teams
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Strong background in analytics, reporting tools, and performance methodologies
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Excellent problem-solving, communication, and decision-making skills across technical and business audiences
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Proven ability to manage and grow technical teams while balancing customer, operational, and strategic priorities
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
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Workday 소개

Workday
PublicWorkday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.
10,001+
직원 수
Pleasanton
본사 위치
$45B
기업 가치
리뷰
10개 리뷰
3.9
10개 리뷰
워라밸
3.8
보상
4.2
문화
4.1
커리어
3.2
경영진
2.8
75%
지인 추천률
장점
Good pay and compensation
Excellent health benefits and insurance
Supportive team and inclusive culture
단점
Management transparency and responsiveness issues
Overwhelming workload and high expectations
Limited career growth opportunities
연봉 정보
18개 데이터
Mid/L4
Mid/L4 · Analytics Data Specialist
1개 리포트
$182,132
총 연봉
기본급
$140,109
주식
-
보너스
-
$182,132
$182,132
면접 후기
후기 9개
난이도
3.9
/ 5
소요 기간
14-28주
경험
긍정 11%
보통 11%
부정 78%
면접 과정
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Director Interview
5
Team Interviews
6
Offer Decision
자주 나오는 질문
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Management/Leadership
최근 소식
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