Jobs in the United States

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Added just now
EG
Senior Data Engineer
Eliassen Group
Madison, WI
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 7 mins ago
Senior Software Engineer - External Products
Silverchair
Remote, United States
We're looking for a Senior Software Engineer to help build the next generation of tools for researchers and publishers. You'll work on external-facing products that serve scholarly content…
Added 9 mins ago
Sr Eng Process Engineering
Ethicon Inc. Legal Entity
Memphis, TN
We are searching for the best talent for Sr Engineer Process Engineering
Added 11 mins ago
Sr. Software Dev Engineer, AWS PrivateLink
Amazon.com Services LLC
Seattle, WA
…we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…
Added 14 mins ago
Senior VistA System Administrator (Remote Opportunity)
VetsEZ
Austin, TX
Bachelor's degree in computer science, electronics engineering, or another engineering or technical discipline. Eight (8) years of additional relevant experience may be substituted for the…
Added 16 mins ago
Mechanical Engineer
Actalent
Wilmington, NC
Job Title: Mechanical EngineerJob DescriptionThe Mechanical Engineer will be responsible for developing design specifications, creating and maturing design concepts, providing procurement…
Added 16 mins ago
A
Industrial Engineer
Actalent
Dearborn, MI
- $35 to $41 USD / hour
Educational and/or professional experience as an Industrial Engineer, including time studies, process engineering, tool development, and data acquisition.
Added 16 mins ago
A
Building Automation Engineer
Actalent
Houston, TX
- $40 to $46 USD / hour
Building Automation EngineerJob DescriptionWe are seeking a skilled Building Automation Engineer to join our team. This role involves the installation, commissioning, and optimization of…
Added 17 mins ago
EG
Senior Data Engineer
Eliassen Group
Oklahoma City, OK
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 18 mins ago
K
PLM/ERP Solution Engineer
Kforce
West Valley City, UT
- $130,000 to $160,000 USD / year
Kforce has a client in West Valley City, UT that is seeking a technically strong, process-focused PLM/ERP Solution Engineer to improve how product data, business processes, and enterprise…
Added 18 mins ago
K
Manager F5 & Application Delivery Operations
Kforce
Englewood, CO
- $60 to $79 USD / hour
Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field
Added 26 mins ago
O
Lead Principal Data Systems Software Engineer
Oracle
Pleasanton, CA · Redwood City, CA
- $122,800 to $306,400 USD / year
Serves as domain expert shaping product architecture and velocity. Defines scalable patterns for microservices, data modeling (including spatial/graph), and performance engineering across…
Added 26 mins ago
Lead Machine Learning Engineer - Merchandising AI (ML Ops)(Remote Or Hybrid)
Target
Brooklyn Park, MN
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale.…
Added 27 mins ago
Senior Software Developer - Scrum Master
Leidos
Eagan, MN
…mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture, enabling next-generation air traffic management capabilities. This role operates within a…
Added 27 mins ago
Machine Learning Engineer II
Mimecast North America, Inc.
Minneapolis, MN
We are seeking a Machine Learning Engineer II to join our product development team working on Incydr, our Insider Risk Management product. In this role, you will embrace the role of…
Added 27 mins ago
AB
Infrastructure Engineer-Network Automation Focused
Associated Bank
Minneapolis, MN
- $11.41 USD / hour
Associated Bank requires you to directly represent yourself and your own experiences during the recruiting and hiring process. Associated Bank conducts a thorough background check on all…
Added 28 mins ago
EG
Senior Data Engineer
Eliassen Group
Saint Paul, MN
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 28 mins ago
Forward Deployed Engineer III, Generative AI, Google Cloud
Google
Pittsburgh, PA
In most instances, this position requires in-person interviews as part of the hiring process.
Added 28 mins ago
Forward Deployed Engineer IV, Generative AI, Google Cloud
Google
Pittsburgh, PA
As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within…
Added 30 mins ago
Senior Site IT Engineer – Manufacturing
Elanco US Inc.
Fort Dodge, IA
Your Role: Senior Site IT Engineer – Manufacturing
Added 30 mins ago
Cloud Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect…
Added 33 mins ago
Software Engineering Manager, Infrastructure
Google
Los Angeles, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 33 mins ago
Staff Software Engineer, Embedded Systems/Firmware
Google
Sunnyvale, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 33 mins ago
Forward Deployed Engineer, State and Local Government, Google Public Sector
Google
New York, NY
In most instances, this position requires in-person interviews as part of the hiring process.
Added 33 mins ago
Staff Software Engineer, Linux Kernel
Google
Sunnyvale, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…

Jobgether

Practice Director, Data & AI

Remote, United States

$200,000 to $230,000 USD / year

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Job details

Pay: $200,000 to $230,000 USD / year
Posting language: English
Posted: Oct 30, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Practice Director, Data & AI based in the United States.

The Practice Director, Data & AI will lead and scale an integrated Data & AI practice, driving its strategic direction, commercial growth, operational excellence, and technical capabilities. This leadership position combines deep expertise in data architecture, artificial intelligence, and solution design with strong business and people management skills. You will oversee the development of innovative, repeatable offerings across data modernization, AI transformation, and AI infrastructure and operations. Working closely with sales, delivery, and strategic technology partners, you will translate emerging technologies and customer needs into scalable solutions and measurable business outcomes. You will also build and develop a high-performing team, strengthen strategic partnerships, and accelerate the adoption of professional and managed services. This is an opportunity to shape a growing practice, influence executive-level customer engagements, and drive meaningful business transformation through data and AI.

Accountabilities:

Define and execute practice strategy: Lead the overall strategy, development, and growth of the Data & AI practice, aligning business objectives, customer demands, market trends, and technology roadmaps across three core areas: Data Modernization & Governance, AI Transformation & Solutions, and Data Infrastructure & Operations.
Develop scalable service offerings: Create standardized solutions, reusable assets, reference architectures, delivery frameworks, and go-to-market materials that improve sales effectiveness, delivery consistency, operational efficiency, and customer outcomes.
Lead data modernization initiatives: Oversee offerings covering data strategy, architecture, integration, engineering, governance, quality, literacy, lineage, cloud data platforms, analytics, business intelligence, and data estate modernization.
Drive AI transformation: Shape solutions covering AI readiness assessments, AI strategies and roadmaps, use-case prioritization, Microsoft Copilot adoption, AI agents, agentic workflows, retrieval-augmented generation (RAG), enterprise knowledge solutions, intelligent automation, and custom generative AI applications.
Oversee AI infrastructure and operations offerings: Guide solutions involving GPU and accelerated computing, AI-ready virtualization, hybrid and private AI environments, AI security, responsible AI, governance, data protection, AI FinOps, observability, and model and agent lifecycle management, in collaboration with adjacent technical practices.
Support strategic customer engagements: Provide technical and commercial leadership for complex and high-value opportunities, including customer discovery, solution architecture, executive presentations, proposal development, deal strategy, and pursuit escalation.
Advise executive stakeholders: Help customers develop long-term data and AI transformation roadmaps, business cases, investment plans, governance models, and adoption strategies that deliver measurable operational and financial value.
Drive sales and go-to-market execution: Partner with sales teams to identify opportunities, strengthen qualification processes, develop compelling solution narratives, improve win rates, and expand recurring and managed services adoption.
Build and lead a high-performing team: Recruit, mentor, and develop solution architects and technical professionals, establishing clear role expectations, career paths, training programs, and certification roadmaps.
Manage capacity and delivery readiness: Align presales resources, team capabilities, and staffing models with business demand, pipeline growth, delivery requirements, and utilization objectives. Collaborate with delivery leadership to anticipate resource needs and maintain service quality and profitability.
Develop strategic technology partnerships: Strengthen relationships with Microsoft and other leading data, AI, infrastructure, and security vendors. Drive joint business planning, co-selling, partner enablement, funding opportunities, certifications, and collaborative go-to-market initiatives.
Monitor business performance: Track and report on pipeline development, bookings, revenue, win rates, utilization, profitability, recurring service adoption, partner performance, and customer satisfaction. Use performance insights to continuously improve practice strategy and execution.
Promote innovation and operational excellence: Embed automation-first principles, reusable accelerators, governance standards, and continuous improvement practices into presales and delivery processes while representing the practice at customer and industry events.

Requirements:

Professional experience: At least 10 years of experience in IT architecture, presales, consulting, or technology advisory, including a minimum of 3 years leading a technical practice, presales team, or advisory function in data, analytics, or AI.
Leadership experience: Demonstrated success building, managing, and scaling technical teams or professional services practices, with the ability to develop talent, manage resources, and drive measurable business results.
Data and AI expertise: Deep knowledge of modern data and AI architectures, including data modernization, integration, engineering, governance, analytics, generative AI, and enterprise AI solutions.
Platform knowledge: Experience with Microsoft Fabric, Azure data services, Power BI, and Azure AI Foundry is preferred, alongside familiarity with other leading cloud data and AI platforms.
AI architecture capabilities: Strong understanding of generative AI applications, retrieval-augmented generation (RAG), AI agents, agentic workflows, intelligent automation, and enterprise AI adoption.
Infrastructure and security knowledge: Working knowledge of GPU and accelerated computing, AI-ready virtualization, hybrid infrastructure, AI security, responsible AI, AI FinOps, observability, and governance, with the ability to shape solutions in collaboration with specialist teams.
Commercial and strategic capabilities: Proven experience developing go-to-market strategies, standardized service offerings, scalable delivery frameworks, and business development initiatives. Strong understanding of pipeline management, revenue growth, profitability, and operational performance metrics.
Customer-facing experience: Demonstrated success leading complex customer engagements, transformation programs, solution implementations, executive advisory discussions, and strategic presales activities, particularly within mid-market environments.
Partner ecosystem experience: Experience working with leading OEMs, ISVs, cloud providers, and technology partners, including professional services and partner-led business development models.
Business acumen: Ability to connect technical solutions with customer priorities, business cases, measurable outcomes, investment strategies, risk management, and long-term operational value.
Communication and interpersonal skills: Excellent presentation, communication, negotiation, and stakeholder management skills, with the ability to explain complex technical concepts to both executive and technical audiences.
Cross-functional leadership: Strong ability to collaborate and influence across sales, delivery, operations, cybersecurity, infrastructure, marketing, finance, and partner management teams.
Education: Bachelor's degree in Computer Science, Business, or a related discipline, or equivalent professional experience.
Certifications: Industry-recognized data and AI certifications are preferred, particularly Microsoft credentials such as DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), or AI-102 (Azure AI Engineer), or equivalent certifications from other leading technology providers.
Additional capabilities: Experience implementing repeatable methodologies, automation, governance frameworks, technical enablement programs, and operational processes that improve scalability, delivery quality, and customer satisfaction.

Benefits:

Competitive compensation: Annual base salary ranging from $200,000 to $230,000, depending on qualifications, professional experience, skills, local market conditions, and internal compensation considerations.
Remote flexibility: Fully remote position based in the United States.
Full-time opportunity: Permanent, full-time leadership position with significant strategic and operational responsibility.
Career impact: Opportunity to build and scale a strategic Data & AI practice while influencing business direction, technology innovation, and customer transformation.
Leadership and development: Opportunity to recruit, mentor, and develop technical talent while shaping career development, training, and certification initiatives.
Technology ecosystem: Exposure to leading data, AI, cloud, infrastructure, and security platforms, with opportunities to strengthen strategic technology partnerships.
Strategic influence: Direct collaboration with senior leadership, executive stakeholders, sales, and delivery teams.
Inclusive workplace: Equal employment opportunities for all qualified applicants, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Accessibility: Reasonable accommodations are available to enable individuals with disabilities to perform the essential functions of the role.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Artificial intelligence
Team leadership
Sales
Business intelligence
Data protection
Leadership
Presentation skills
Customer service
Process improvement
Manage resources
Microsoft Azure
Microsoft Power BI
Collaboration
Risk management
Communication skills
Interpersonal skills
Negotiation
Stakeholder management
Cybersecurity
Computer science
DP
Google Analytics

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