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About the job
The Rapid Innovation and Specialist Engineering (RISE) team serves as the premier nexus of deep technical mastery and rapid innovation for the public sector. Our outlook is to be the definitive benchmark for technical expertise, solving the world's most complex mission challenges through the transformative power of Google's 10x culture. By integrating the expertise in AI, Data, and the Google Security portfolio, we empower agencies to solve their most difficult problems today while engineering the mission solutions of tomorrow.
As the Head of Data, Analytics, and Geo, you will lead a team of deep technical experts who are instrumental in achieving this mission.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $192,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Lead, manage, and mentor the Data, Analytics, and Geo specialist engineering team within the RISE organization. Foster a culture of technical excellence, innovation, and proactive customer engagement.
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Define and execute the technical strategy for Google Cloud data platform in the public sector, encompassing databases, data warehousing/lake houses, data processing and engineering, data intelligence and governance, and Google's Geo portfolio.
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Drive customer success through advanced technical demonstrations, Proof-of-Concepts (Po Cs), and architectural guidance for complex mission-critical challenges.
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Collaborate closely with leaders across the RISE organization, including AI, Security, and Platform Engineering to deliver integrated, comprehensive solutions.
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Engage with key public sector customers to understand their needs and act as a trusted advisor on their data journey. Serve as the organization's technical expert for the data and analytics portfolio, guiding the team and public sector customers.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in a technical role focused on data and analytics.
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5 years of experience in a leadership role managing customer-facing technical teams.
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Experience in one or more of the following domains: databases, data warehousing, data lakes/lake houses, data engineering, business intelligence, or geospatial data analysis.
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Active, or the ability to obtain, a Top Secret security clearance.
Preferred qualifications
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Master's degree or PhD in Computer Science, or a related field.
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Experience with Google Cloud data and analytics products (e.g., Big Query, Spanner, Cloud SQL, Dataproc, Dataflow, Looker, Google Earth Engine).
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Experience working with public sector customers (e.g., federal, state, local, and education).
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Understanding of data governance, data management principles, and their application in regulated environments.
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Ability to lead and execute complex, customer-facing technical engagements such as proof-of-concepts and architectural reviews.
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Excellent communication and presentation skills, with the ability to convey complex technical concepts to various audiences.
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
3.7
25개 리뷰
워라밸
3.8
보상
4.2
문화
3.4
커리어
3.9
경영진
2.8
68%
친구에게 추천
장점
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
단점
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
연봉 정보
57,502개 데이터
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 경험
9개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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