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About the job
The Google Cloud Consulting (GCC) team is evolving to meet the demands of enterprise AI transformation. As a Consulting Account Lead (CAL), you will be the single point of accountability for shaping, orchestrating, and delivering our most strategic customers' transformation journeys, with a heavy focus on AI-driven transformation. You will act as the senior trusted advisor to C-suite executives, defining the "how" behind their most ambitious goals and ensuring they realize tangible business value from their investment in Google Cloud and Gemini.
You will own the customer's change journey, from architecting the services strategy early in the sales cycle to establishing governance and acting as the unifying thread across complex delivery programs involving the customer, partners, and internal Google teams. You are the definitive post-sales transformation and Customer Experience (CEx) leader on the account.
In this role, you will be expected to be at the customer site approximately 50% of the time.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
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Act as a lead transformation advisor for C-suite and VP level and stakeholders, delivering industry-specific points of view on how Google Cloud and Gemini drive measurable business value, engaged differentiation, and return on investment.
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Own end-to-end services strategy incorporating AI, shaping and guiding customer's transformation journey by creating roadmaps, proposals, and delivery plans linked to business objectives and constraints.
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Manage cloud delivery programs, ensuring successful execution across customer, partners, and Google Cloud Consulting, while proactively identifying and mitigating transformation risks.
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Be a change agent focused on navigating organizational complexities to ensure the successful adoption of the platform, including owning the plan to activate and drive usage of Gemini and AI Solutions, communicating progress toward realized value.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in a customer-facing role in management consulting, enterprise technology transformation, or customer success.
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Experience in leading technology or digital transformation programs for enterprise organizations.
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Experience building and maintaining relationships with C-suite or VP-level executives.
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Experience supporting public sector clients.
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Experience driving AI transformations in organizations.
Preferred qualifications
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Master's degree in a Management, Technical, or Engineering field.
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Experience orchestrating large, multi-workstream programs involving customers, partners, and internal teams in a matrixed organization.
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Experience building business cases and articulating the ROI of technology investments to executive stakeholders.
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Knowledge of the Google Cloud ecosystem.
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Familiarity with the enterprise AI/ML landscape and enterprise agentic transformation.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
3.7
25件のレビュー
ワークライフバランス
3.8
報酬
4.2
企業文化
3.4
キャリア
3.9
経営陣
2.8
68%
友人に勧める
良い点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
改善点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
給与レンジ
57,502件のデータ
Junior/L3
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L4
L5
L6
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L8
Mid/L4
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Junior/L3 · Data Scientist L3
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$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接体験
9件の面接
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
ニュース&話題
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3d ago
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3d ago




