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Google
Google

Organizing the world's information and making it universally accessible.

Process Excellence Lead

RoleOperations
LevelLead
WorkOn-site
TypeFull-time
Posted1 month ago
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About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

Responsibilities

  • Lead cross-functional design sessions and utilize Gemini to architect detailed service blueprints and process maps, driving the re-engineering of end-to-end customer journeys.

  • Create compelling, data-driven business cases that articulate problem statements, proposed solutions Business Requirement Documents (BRDs), and expected Return on Investment (ROI) to secure stakeholder buy-in.

  • Partner with process owners, product managers, and strategy teams to translate business needs into concrete process improvement initiatives.

  • Act as a key influencer to drive organizational alignment and guide teams through the successful implementation of process transformations.

  • Design and implement measurement systems by defining Key Performance Indicators (KPIs) and control plans to track process health and sustain improvements.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience in program or project management, or managing cross-functional or cross-team projects.

  • 5 years of experience in process engineering, business transformation, AI/automation strategy, or a related operational excellence field.

  • Experience in proposing AI-driven or agentic automation solutions to transform legacy workflows into next-generation, tech-first processes.

  • Experience in end-to-end workflow re-engineering, including the use of service blueprints and process mapping to drive organizational change.

Preferred qualifications

  • Experience leveraging quantitative and qualitative analysis to diagnose systemic issues, perform root cause analysis, and identify fundamental process transformations.

  • Experience architecting end-to-end process models, including process maps, customer journey maps, and service blueprints to re-imagine workflows.

  • Experience applying emerging technologies, such as AI and automation, to build next-generation, user-centric workflows.

  • Ability to execute a portfolio of transformation projects simultaneously, navigating ambiguity from conception through implementation.

  • Excellent stakeholder management skills, with the ability to secure buy-in and drive organizational alignment across conflicting priorities.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Senior/L5

Mid/L4 · Technical Program Manager

1,213 reports

$365,196

total per year

Base

$187,658

Stock

$130,822

Bonus

$46,717

$242,776

$576,787

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense