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Sr Implementation Manager Jobs in Bothell, WA (NOW HIRING)

JLL

Senior Manager, Programs

Seattle, WA

$132K - $132.60K/yr

Implement robust mitigation strategies and perform regular quality checks to ensure initiatives ... management frameworks, standards and best practices; Proven track record influencing senior ...

New

Seattle Search Group

Senior Tax Manager

Seattle, WA · On-site +1

Senior Tax Manager About the Opportunity Seattle Search Group is partnering with a public ... Develop and implement effective tax planning strategies * Serve as primary advisor for assigned ...

Amazon

Sr. Program Manager, Amazon Fresh

New York, NY · On-site

$126.90K - $127.50K/yr

Amazon is looking for a Senior Program Manager with a strong delivery record and proven analytical ... and implement continuous improvements - Proactively identify, assess, and mitigate potential ...

Deloitte

Anaplan Senior Manager

Seattle, WA

Collaborating with cross-functional teams to design and implement Anaplan and other enterprise ... Deloitte is seeking an experienced Anaplan Senior Manager to support Finance Transformation ...

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All JobsSr Implementation Manager JobsSr Implementation Manager Jobs in Bothell, WA

Sr Implementation Manager information

See Bothell, WA salary details

$43.6K

$115.7K

$187.8K

How much do sr implementation manager jobs pay per year?

As of May 30, 2026, the average yearly pay for sr implementation manager in Bothell, WA is $115,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $135,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sr Implementation Manager, and why are they important?

To thrive as a Sr Implementation Manager, you need a strong background in project management, business analysis, and experience leading cross-functional teams, often supported by a bachelor’s degree in business or a related field. Familiarity with project management tools (such as Jira or Asana), CRM systems, and certifications like PMP or Six Sigma are highly valued. Exceptional communication, problem-solving, and stakeholder management skills help set standout professionals apart in this role. These competencies are essential to ensure seamless project delivery, effective client onboarding, and the achievement of business objectives.

What are some common challenges faced by a Sr Implementation Manager during large-scale project rollouts?

Sr Implementation Managers often encounter challenges such as aligning cross-functional teams, managing shifting client expectations, and ensuring timelines are met despite unforeseen technical or resource constraints. Navigating complex stakeholder communications and mitigating risks are also key responsibilities that require proactive planning and adaptability. Success in this role relies on strong leadership, transparent communication, and the ability to quickly troubleshoot issues while keeping projects on track.

What does a Sr Implementation Manager do?

A Sr Implementation Manager oversees the deployment of new products, systems, or solutions within an organization or for clients. They manage project timelines, coordinate cross-functional teams, and ensure deliverables meet client requirements and quality standards. Their role also includes identifying potential risks, facilitating communication between stakeholders, and ensuring a smooth transition from project initiation to completion. Sr Implementation Managers are essential for ensuring that complex implementations are executed efficiently and effectively.

What is the difference between Sr Implementation Manager vs Implementation Specialist?

AspectSr Implementation ManagerImplementation Specialist
CredentialsTypically requires a bachelor’s degree, project management certifications (e.g., PMP), and experience in managing complex projectsUsually holds a bachelor’s degree, with certifications like CAPM or relevant technical training
Work EnvironmentLeads cross-functional teams, manages client relationships, and oversees project delivery at a strategic levelFocuses on executing specific implementation tasks, supporting project teams, and ensuring technical deployment
Employer & Industry UsageCommon in technology, software, and consulting firms for managing large-scale implementationsFound in similar industries, often working under project managers to support implementation phases

The main difference is that a Sr Implementation Manager oversees entire projects and manages teams, while an Implementation Specialist focuses on executing specific tasks within those projects. The manager role involves strategic planning and client interaction, whereas the specialist role emphasizes technical execution and support.

What are popular job titles related to Sr Implementation Manager jobs in Bothell, WA? For Sr Implementation Manager jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Sr Implementation Manager jobs in Bothell, WA look for? The top searched job categories for Sr Implementation Manager jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Sr Implementation Manager jobs? Cities near Bothell, WA with the most Sr Implementation Manager job openings:
Sr Implementation Manager jobs near you
Infographic showing various Sr Implementation Manager job openings in Bothell, WA as of May 2026, with employment types broken down into 31% Full Time, 64% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $115,722 per year, or $55.6 per hour.
AI Datacenter & Infrastructure Senior Manager

AI Datacenter & Infrastructure Senior Manager

Deloitte

Seattle, WA • Hybrid

$123.50K - $167.90K/yr

Other

Posted 27 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

AI Datacenter & Infrastructure Senior Manager -AI & Engineering

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 05/30/2026.

Work you'll do

  • Drive the strategy and delivery of AI-centric datacenter transformations: Lead the end-to-end planning, design, and execution of complex infrastructure projects, aligning with clients' business and AI objectives.
  • Shape client solutions and build trusted relationships with architects and executives: Serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities.
  • Oversee multi-disciplinary project teams: Direct and mentor diverse teams, ensuring seamless collaboration across infrastructure, AI, cloud, and cybersecurity domains to deliver high-impact outcomes.
  • Build and grow the AI Datacenter practice & capabilities: Lead the growth, strategy, and talent development of the AI Datacenter practice by shaping service offerings, driving innovation, expanding client relationships, and building high-performing teams to deliver market-leading infrastructure solutions.
  • Advance thought leadership and market presence: Represent the firm at industry events, contribute to go-to-market strategies, and drive the development of reusable assets that showcase our expertise in AI datacenter solutions.
  • Ensure high-quality project delivery and client satisfaction: Take accountability for meeting project milestones, managing budgets, and maintaining strong client relationships through proactive communication and solution-oriented problem solving.
  • Promote continuous innovation: Champion emerging technologies and best practices in AI, edge computing, and hybrid cloud, fostering a culture of learning and excellence within the team.
The Team
Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.

Qualifications

Required

  • 10+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • 10+ years of experience designing architectures that span on-prem, colocation, and hyperscaler environments; experience with containerized AI workloads (Kubernetes, Kubeflow), data fabric patterns, and edge inference deployment strategies.
  • 10+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 7+ years or experience designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.
  • 7+ years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters.
  • 10+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects on time and under budget; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 12+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 7+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics)
  • Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments.
  • Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios.
  • Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
  • Ability to make and meet commitments on a tight timeline with right-sized scoping on "must haves" to realize customer wins.
  • High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth
  • Experience collaborating with cross-functional teams (Sales, Marketing, Product) to develop and execute market expansion strategies.
  • Proven ability to collaborate with Data Scientists and ML Engineers to understand infrastructure needs and deliver robust, scalable solutions.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $175,300 to $322,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: 

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

AI Datacenter & Infrastructure Senior Manager -AI & Engineering

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 05/30/2026.

Work you'll do

  • Drive the strategy and delivery of AI-centric datacenter transformations: Lead the end-to-end planning, design, and execution of complex infrastructure projects, aligning with clients' business and AI objectives.
  • Shape client solutions and build trusted relationships with architects and executives: Serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities.
  • Oversee multi-disciplinary project teams: Direct and mentor diverse teams, ensuring seamless collaboration across infrastructure, AI, cloud, and cybersecurity domains to deliver high-impact outcomes.
  • Build and grow the AI Datacenter practice & capabilities: Lead the growth, strategy, and talent development of the AI Datacenter practice by shaping service offerings, driving innovation, expanding client relationships, and building high-performing teams to deliver market-leading infrastructure solutions.
  • Advance thought leadership and market presence: Represent the firm at industry events, contribute to go-to-market strategies, and drive the development of reusable assets that showcase our expertise in AI datacenter solutions.
  • Ensure high-quality project delivery and client satisfaction: Take accountability for meeting project milestones, managing budgets, and maintaining strong client relationships through proactive communication and solution-oriented problem solving.
  • Promote continuous innovation: Champion emerging technologies and best practices in AI, edge computing, and hybrid cloud, fostering a culture of learning and excellence within the team.
The Team
Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.

Qualifications

Required

  • 10+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • 10+ years of experience designing architectures that span on-prem, colocation, and hyperscaler environments; experience with containerized AI workloads (Kubernetes, Kubeflow), data fabric patterns, and edge inference deployment strategies.
  • 10+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 7+ years or experience designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.
  • 7+ years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters.
  • 10+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects on time and under budget; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 12+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 7+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics)
  • Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments.
  • Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios.
  • Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
  • Ability to make and meet commitments on a tight timeline with right-sized scoping on "must haves" to realize customer wins.
  • High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth
  • Experience collaborating with cross-funct...

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