ai director

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Director
Job Description &amp; Summary
The Director (D) for AI &amp; Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence, Machine Learning, and Automation across business domains.
 
This role blends technical excellence, strategic leadership, and commercial acumen, combining deep expertise in Python, .NET, and cloud-native architectures to deliver scalable, secure, and value-generating intelligent systems &ndash; leveraging the latest in thinking in the future agentic web.
 
The MD/D will partner with C-suite executives, technology leaders, and global delivery teams to embed AI capabilities at scale&mdash;accelerating innovation, enhancing decision-making, and transforming enterprise operations.
Key Leadership Responsibilities
Strategic Vision &amp; Governance
<ul><li>Define the global AI &amp; Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.
</li></ul><ul><li>Establish technical governance frameworks for AI ethics, model transparency, and Responsible AI implementationServe as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.
</li></ul><ul><li>Experience delivering solutions leveraging
</li><li>Experience delivering intelligent, agentic solutions leveraging frameworks such as Semantic Kernel, LangGraph, CrewAI, LangChain, AutoGen and LlamaIndex, with a strong focus on orchestration, multi-agent collaboration, and scalable AI-driven architectures.
</li></ul><ul><li>Drive responsible integration of Large Language Models (LLMs) from multiple providers including deployment via Azure OpenAI Service, Amazon Bedrock or Vertex AI .
</li></ul><ul><li>Implement retrieval-augmented generation (RAG) architectures and manage vector databases
</li></ul>Data Platform &amp; Engineering Excellence
<ul><li>Lead the evolution of the enterprise data estate, leveraging modern data platforms such as Databricks , Snowflake , Azure Synapse , AWS Glue/Redshift and BigQuery .
</li></ul><ul><li>Oversee data engineering using Apache Airflow , dbt , and Prefect , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards ( Collibra , Alation , Microsoft Purview ).
</li><li>Ensure high-quality, compliant data foundations for machine learning and analytics workloads.
</li></ul>Cloud, Infrastructure &amp; MLOps
<ul><li>Champion multi-cloud architecture and engineering excellence across Azure , AWS , and GCP .
</li></ul><ul><li>Lead enterprise MLOps initiatives using Azure ML , SageMaker , Vertex AI , MLflow , and Kubeflow
</li></ul>Intelligent Automation &amp; Cognitive Services
<ul><li>Drive end-to-end intelligent automation using Power Automate , Blue Prism , and Automation Anywhere .
</li></ul><ul><li>Integrate cognitive services including Azure Cognitive Services , AWS Comprehend , Form Recognizer , and Speech/Translation APIs to augment digital workflows.
</li></ul><ul><li>Lead enterprise process mining and optimization initiatives via Celonis , Power BI Process Mining , and ProcessGold .
</li></ul>Security, Compliance &amp; Responsible AI
<ul><li>Ensure alignment with enterprise security standards and frameworks (SOC2, ISO27001, NIST).
</li></ul><ul><li>Oversee identity and access management through Azure AD , OAuth2 , OpenID Connect , and integration with enterprise IAM systems.
</li></ul><ul><li>Champion ethical AI, bias detection, and explainability through Azure Responsible AI Dashboard and equivalent frameworks.
</li></ul>Leadership, Talent &amp; Innovation
<ul><li>Build and lead high-performing global teams in data science, engineering, and automation disciplines.
</li></ul><ul><li>Cultivate a culture of innovation, continuous learning, and responsible experimentation.
</li></ul><ul><li>Engage with the external AI ecosystem&mdash;academic institutions, hyperscalers, and startups&mdash;to identify strategic partnerships and emerging opportunities.
</li></ul>Preferred Background
 <ul><li>Scaled demonationable experince of delivery or consulting leadership with significant experience delivering enterprise AI, data, and automation transformations.
</li></ul><ul><li>Proven record integrating Python-based AI with .NET enterprise systems .
</li></ul><ul><li>Deep expertise across multi-cloud environments, data governance, and enterprise DevSecOps.
</li></ul><ul><li>Demonstrated ability to deliver large-scale transformation programs and measurable ROI.
</li></ul><ul><li>Strong executive presence, communication, and client/stakeholder management skills.
</li></ul>Minimum years experience required
Additional application instructions
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP) {+ 53 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, AI Architect - Director level

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Director
 
 
 
 
 Job Description &amp; Summary
 
 
 The Director (D) for AI &amp; Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence, Machine Learning, and Automation across business domains.
 
 This role blends technical excellence, strategic leadership, and commercial acumen, combining deep expertise in Python, .NET, and cloud-native architectures to deliver scalable, secure, and value-generating intelligent systems &ndash; leveraging the latest in thinking in the future agentic web.
 
 The MD/D will partner with C-suite executives, technology leaders, and global delivery teams to embed AI capabilities at scale&mdash;accelerating innovation, enhancing decision-making, and transforming enterprise operations.
 
 
 
 
 Key Leadership Responsibilities
 
 &nbsp;
 
 
 
 Strategic Vision &amp; Governance
 
 &nbsp;
 
 <ul>
 <li>
 Define the global AI &amp; Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Establish technical governance frameworks for AI ethics, model transparency, and Responsible AI implementationServe as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 
 Experience delivering solutions leveraging
 
 </li>
 <li>
 Experience delivering intelligent, agentic solutions leveraging frameworks such as Semantic Kernel, LangGraph, CrewAI, LangChain, AutoGen and LlamaIndex, with a strong focus on orchestration, multi-agent collaboration, and scalable AI-driven architectures.
 </li>
 </ul>
 <ul>
 <li>
 Drive responsible integration of
 
 Large Language Models (LLMs)
 
 from &nbsp;multiple providers including deployment via
 
 Azure OpenAI Service, Amazon Bedrock
 
 or
 
 Vertex AI
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Implement
 
 retrieval-augmented generation (RAG)
 
 architectures and manage
 
 vector databases
 
 &nbsp;
 
 </li>
 </ul>
 
 Data Platform &amp; Engineering Excellence
 
 &nbsp;
 
 <ul>
 <li>
 Lead the evolution of the enterprise data estate, leveraging modern data platforms such as
 
 Databricks
 
 ,
 
 Snowflake
 
 ,
 
 Azure Synapse
 
 , AWS Glue/Redshift and
 
 BigQuery
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Oversee data engineering using
 
 Apache Airflow
 
 ,
 
 dbt
 
 , and
 
 Prefect
 
 , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards (
 
 Collibra
 
 ,
 
 Alation
 
 ,
 
 Microsoft Purview
 
 ).&nbsp;
 </li>
 <li>
 Ensure high-quality, compliant data foundations for machine learning and analytics workloads.&nbsp;
 
 </li>
 </ul>
 
 Cloud, Infrastructure &amp; MLOps
 
 &nbsp;
 
 <ul>
 <li>
 Champion multi-cloud architecture and engineering excellence across
 
 Azure
 
 ,
 
 AWS
 
 , and
 
 GCP
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Lead enterprise MLOps initiatives using
 
 Azure ML
 
 ,
 
 SageMaker
 
 ,
 
 Vertex AI
 
 ,
 
 MLflow
 
 , and
 
 Kubeflow
 
 &nbsp;
 
 </li>
 </ul>
 
 Intelligent Automation &amp; Cognitive Services
 
 &nbsp;
 
 <ul>
 <li>
 Drive end-to-end intelligent automation using
 
 Power Automate
 
 ,
 
 Blue Prism
 
 , and
 
 Automation Anywhere
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Integrate
 
 cognitive services
 
 including
 
 Azure Cognitive Services
 
 ,
 
 AWS Comprehend
 
 ,
 
 Form Recognizer
 
 , and
 
 Speech/Translation APIs
 
 to augment digital workflows.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Lead enterprise
 
 process mining
 
 and
 
 optimization initiatives
 
 via
 
 Celonis
 
 ,
 
 Power BI Process Mining
 
 , and
 
 ProcessGold
 
 .&nbsp;
 
 </li>
 </ul>
 
 Security, Compliance &amp; Responsible AI
 
 &nbsp;
 
 <ul>
 <li>
 Ensure alignment with enterprise security standards and frameworks (SOC2, ISO27001, NIST).&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Oversee
 
 identity and access management
 
 through
 
 Azure AD
 
 ,
 
 OAuth2
 
 ,
 
 OpenID Connect
 
 , and integration with enterprise IAM systems.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Champion ethical AI, bias detection, and explainability through
 
 Azure Responsible AI Dashboard
 
 and equivalent frameworks.&nbsp;
 
 </li>
 </ul>
 
 
 Leadership, Talent &amp; Innovation
 
 
 &nbsp;
 
 <ul>
 <li>
 Build and lead high-performing global teams in data science, engineering, and automation disciplines.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Cultivate a culture of innovation, continuous learning, and responsible experimentation.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Engage with the external AI ecosystem&mdash;academic institutions, hyperscalers, and startups&mdash;to identify strategic partnerships and emerging opportunities.&nbsp;
 
 
 </li>
 </ul>
 
 Preferred Background
 
 
 <ul>
 <li>
 &nbsp;Scaled demonationable experince of delivery or consulting leadership with significant experience delivering enterprise AI, data, and automation transformations.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Proven record integrating
 
 Python-based AI
 
 with
 
 .NET enterprise systems
 
 .&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Deep expertise across multi-cloud environments, data governance, and enterprise DevSecOps.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Demonstrated ability to deliver large-scale transformation programs and measurable ROI.&nbsp;
 </li>
 </ul>
 <ul>
 <li>
 Strong executive presence, communication, and client/stakeholder management skills.&nbsp;
 
 
 
 </li>
 </ul>
 
 Minimum years experience required
 
 
 
 
 Additional application instructions
 
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP) {+ 53 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Ejadah Management Consultancy

<div>
 
 
 Key Responsibilites:
 
 
 
 Lead the end-to-end
 
 AI delivery function
 
 , ensuring consistent, high-quality execution across multiple squads and business domains
 
 <ul>
 <li>
 Oversee the
 
 full lifecycle of AI initiatives
 
 , from use case identification and prioritization through to deployment, scaling, and continuous optimization
 </li>
 <li>
 Establish and institutionalize
 
 delivery governance frameworks
 
 , including clear operating models, performance cadence, and accountability structures
 </li>
 <li>
 Build and lead
 
 high-performing, cross-functional teams
 
 , including engineering, data science, and product, operating through layered leadership
 </li>
 <li>
 Define and implement
 
 scalable AI platform architectures
 
 , enabling reuse, interoperability, and efficient deployment across the enterprise
 </li>
 <li>
 Drive the adoption of
 
 enterprise-grade MLOps standards
 
 , including CI/CD pipelines, model versioning, automated testing, and controlled release processes
 </li>
 <li>
 Ensure robust
 
 AI lifecycle management and model governance
 
 , including monitoring, drift detection, retraining strategies, and incident management protocols
 </li>
 <li>
 Standardize delivery through
 
 platform-based approaches
 
 , including shared data pipelines, reusable components, and consistent model serving patterns
 </li>
 <li>
 Collaborate closely with business and technology leadership to ensure
 
 alignment between AI delivery and strategic priorities
 
 </li>
 <li>
 Define and track
 
 key performance indicators
 
 related to delivery efficiency, model performance, and business value realization
 </li>
 <li>
 Ensure adherence to
 
 responsible AI principles
 
 , including auditability, transparency, and regulatory alignment
 </li>
 </ul>
 
 
 
 
 
 Requirments:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline;
 
 advanced degree preferred
 
 </li>
 <li>
 Minimum of 10 years of experience in
 
 AI, machine learning, advanced analytics, or software engineering
 
 , with a strong record of delivering solutions in production environments
 </li>
 <li>
 Demonstrated success in leading
 
 large-scale AI delivery functions
 
 , including managing managers and cross-functional teams within complex organizations
 </li>
 <li>
 Deep expertise in
 
 MLOps and ML lifecycle management
 
 , including model versioning, CI/CD, monitoring, and continuous improvement practices
 </li>
 <li>
 Strong understanding of
 
 enterprise AI architectures
 
 , including data pipelines, feature stores, model serving, and hybrid cloud/on-premise environments
 </li>
 <li>
 Proven ability to design and scale
 
 platform-based AI capabilities
 
 , enabling reuse and consistency across multiple use cases
 </li>
 <li>
 Experience operating within structured environments requiring
 
 governance, controls, and auditability
 
 , preferably within regulated or large-scale industries
 </li>
 <li>
 Strong
 
 stakeholder management and communication capabilities
 
 , with the ability to engage senior leadership and translate business objectives into execution
 </li>
 <li>
 Demonstrated ability to balance
 
 strategic thinking with hands-on delivery oversight
 
 , ensuring both direction and execution excellence
 </li>
 </ul>
 
 
 
 
 
 
</div>

Ai Delivery Director

Alcon SRL Advanced Intelligence Group

Job Title: Director of Data Science &amp; AnalyticsAbout the RoleWe are seeking a highly experienced Director of Data Science &amp; Analytics to lead enterprise-wide data strategy, AI initiatives, and advanced analytics capabilities. This is a senior leadership role where you will shape how data is used to drive business decisions, innovation, and AI-powered transformation across global operations.If you are passionate about building high-performing data teams, scaling machine learning systems, and turning complex datasets into actionable business intelligence&mdash;this role is designed for you.Why This Role is Attractive<ul><li>Strategic leadership role with global impact</li><li>Opportunity to build and lead an advanced AI &amp; data organization</li><li>Work on large-scale machine learning and predictive analytics systems</li><li>High autonomy in shaping data strategy and technology stack</li><li>Executive-level visibility and influence</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data science and analytics strategy</li><li>Lead teams of data scientists, analysts, and ML engineers</li><li>Build and scale machine learning models for prediction, automation, and optimization</li><li>Develop advanced analytics frameworks for business intelligence</li><li>Oversee data architecture, governance, and quality standards</li><li>Collaborate with CTO, engineering, and product leadership teams</li><li>Translate business challenges into data-driven solutions</li><li>Drive AI adoption across business units</li><li>Present insights and strategic recommendations to executive leadership</li></ul>Required Experience &amp; Skills<ul><li>8+ years in Data Science, Analytics, or Machine Learning roles</li><li>3+ years in leadership or director-level positions</li><li>Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Expertise in big data platforms (Spark, Hadoop, cloud data warehouses)</li><li>Proven experience building and deploying ML models at scale</li><li>Strong understanding of data engineering and architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Experience in enterprise or global-scale organizations preferred</li></ul>What We Offer<ul><li>Competitive executive compensation package</li><li>Performance-based incentives</li><li>Opportunity to lead cutting-edge AI transformation</li><li>International project exposure</li><li>Career growth into executive leadership roles</li></ul>Call to ActionIf you're ready to lead a world-class data science organization and shape the future of AI-driven decision-making, we want to hear from you.Apply now and take the next step in your leadership journey.Pay: RO4,000.000 - RO6,500.000 per monthWork Location: In person

Director of Data Science & Analytics

Rakuten International

<div>Job Description:
Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.
Rakuten is the most rewarding way to shop, giving millions of members Cash Back when they buy from their favorite brands. As a leading shopping platform, Rakuten partners with thousands of top brands across apparel, beauty and wellness, grocery, travel, on-demand services, subscriptions, and dining, helping members save on everyday purchases. Since 1999, Rakuten members have earned more than $4.6 billion in Cash Back, making it the largest Cash Back platform of its kind. Learn more at Rakuten.com.
Job Summary:
Rakuten Rewards is seeking a Director of Data Science to lead our centralized data science organization, influence strategy and drive execution of machine learning and generative AI initiatives that deliver measurable, company-wide business impact. Reporting directly to the CTO, this role combines organizational leadership, technical depth, and business ownership, with a mandate to scale high-impact AI solutions from concept to production. You will be responsible for setting the technical vision, mentoring a high-performing team, and ensuring that our data science efforts directly translate into competitive advantages and improved member experiences.
Key Responsibilities:
Organizational Leadership &amp; Business Impact<ul><li>
Lead and grow a high-performing centralized data science organization, including managing managers, hiring top talent, and fostering a strong, accountable culture</li><li>
Help shape data science strategy and prioritize initiatives based on feasibility and expected business outcomes</li><li>
Translate ambiguous business problems into clear, actionable AI and machine learning strategies</li><li>
Own problem framing, success metrics, and end to end accountability to ensure data science efforts translate into measurable business outcomes</li><li>
Serve as a trusted partner to senior leaders, clearly communicating strategy, trade‑offs, progress, and impact</li></ul>
AI &amp; Machine Learning Execution<ul><li>
Own the end‑to‑end delivery and effectiveness of machine learning and generative AI solutions, ensuring successful progression from problem definition through production deployment, monitoring, and iteration.</li><li>
Set technical direction and quality standards for scalable ML, optimization, and GenAI systems that deliver measurable impact across domains such as campaign forecasting, campaign optimization, and member experience optimization</li><li>
Ensure solutions are production‑ready, observable, and continuously improved, with a strong focus on reliability and business effectiveness</li></ul>
Foundations, Platforms &amp; Innovation<ul><li>
Strengthen best practices and technical standards for applied AI across the organization</li><li>
Partner with engineering and platform teams to improve foundations for production AI, including experimentation, evaluation, model monitoring, and scalable infrastructure</li><li>
Stay current with advances in ML and generative AI and guide thoughtful, pragmatic adoption of new capabilities</li></ul>
Qualifications:<ul><li>
Strong foundation in machine learning, statistical modeling, optimization, and/or AI systems</li><li>
Experience leading the deployment and scaling of models in production environments</li><li>
Familiarity with modern data and ML ecosystems (Python, SQL, cloud platforms, and production ML tooling)</li><li>
Demonstrated ability to lead in ambiguous environments and define strategy from first principles</li><li>
Strong communication skills with experience influencing senior stakeholders and cross-functional teams</li><li>
Ability to balance technical depth with business pragmatism</li><li>
Preferred: Experience in e-commerce, ad-tech, marketing science, recommender systems, or related domains</li><li>
Preferred: Experience integrating AI into customer-facing products and internal workflows</li><li>
Preferred: Experience with LLM-based systems, retrieval-augmented generation (RAG), and evaluation of generative AI solutions</li></ul>
Minimum Requirements:<ul><li>
10+ years of experience in data science, machine learning, or applied AI in industry; 15+ years Preferred</li><li>
5+ years of leadership experience, including managing managers and building scaled teams</li><li>
Proven track record of delivering measurable business impact through production-grade ML/AI systems</li><li>
Bachelor's Degree Required; Master's Degree Preferred</li></ul>
Five Principles for Success 
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success. 
 
Always improve, Always Advance - Only be satisfied with complete success - Kaizen 
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best 
Hypothesize - Practice - Validate &ndash; Shikumika - Use the Rakuten Cycle to succeed in unknown territory 
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile 
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team<div><div><div><div><div><div><div>
Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.</div></div></div></div></div></div></div>
At the time of posting, Rakuten expects the base compensation for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for discretionary bonus, health, vision, dental insurance, 401k matching, PTO, Volunteer Time Off (VTO), and other employee benefits as the company implements.
USD $156,007.50 - $291,500.00 annually</div>

Director, Data Science

<div></div><div><div><div><div>U.S. - Technology as a force for good
</div></div></div><div>By playing this video you consent to Google/YouTube processing your data and using cookies Learn more.</div>
<div><h2 class="jobSectionHeader">Position Description:</h2>
CGI is seeking a Director, Generative AI &amp; Intelligent Automation to help lead one of the largest public-sector AI transformation initiatives in the United States!
 
 
Based in Sacramento, CA, this highly visible, client-facing leadership role will support Californias statewide AI modernization efforts while helping government, healthcare, and commercial organizations translate AI strategy into measurable business outcomes. 
 
As a trusted advisor to CIOs, agency executives, and senior business leaders, you will guide organizations from AI experimentation to scalable, responsible enterprise adoption.
 
 
This role blends executive advisory, business development, technical leadership, and delivery enablement to drive meaningful transformation through generative AI and intelligent automation.
 
 
This role is in our Sacramento, CA CGI location.
</div><div><h2 class="jobSectionHeader">Your future duties and responsibilities:</h2>
<h3 class="jobSectionHeader">How you'll make an impact</h3> 
<h3 class="jobSectionHeader">
Executive Advisory &amp; Business Development</h3>
 
Serve as a strategic advisor to C-suite executives and government leaders on AI strategy, adoption, governance, and business value 
 
Lead executive workshops, discovery sessions, and strategic presentations focused on enterprise AI transformation 
 
Identify, shape, and pursue new business opportunities across public-sector and commercial markets 
 
Support proposal development, solution positioning, and strategic deal pursuits 
 
Represent CGI as a thought leader through client engagements, industry forums, conferences, and executive briefings 
<h3 class="jobSectionHeader">
AI Strategy &amp; Technical Leadership</h3>
 
Design and guide enterprise AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent automation, and modern AI platforms 
 
Lead proof-of-concept initiatives and help define scalable AI architectures and implementation roadmaps 
 
Provide hands-on guidance in areas such as prompt engineering, model integration, AI governance, and responsible AI practices 
 
Evaluate emerging AI technologies, vendors, and platforms for business value, scalability, risk, and operational readiness 
 
Bridge business priorities with technical execution to ensure successful adoption and measurable outcomes 
<h3 class="jobSectionHeader">
Leadership &amp; Capability Development</h3>
 
Mentor and develop AI practitioners, architects, and consulting teams across CGI 
 
Help establish and scale CGIs generative AI capabilities, methodologies, and delivery standards 
 
Foster collaboration across business, technology, and delivery organizations to accelerate AI innovation and adoption 
 
Contribute to internal AI enablement initiatives, reusable assets, and best practices
</div><div><h2 class="jobSectionHeader">Required qualifications to be successful in this role:</h2>
<h3 class="jobSectionHeader">What you'll bring</h3>
 
10+ years of experience in enterprise technology, digital transformation, or IT consulting 
 
5+ years in client-facing leadership, advisory, or consulting roles 
 
Strong hands-on knowledge of generative AI technologies and tools, including platforms such as ChatGPT, Claude, Microsoft Copilot, and enterprise AI ecosystems 
 
Experience designing or advising on AI solutions involving LLMs, RAG architectures, intelligent automation, or enterprise AI integration 
 
Proven ability to communicate complex technical concepts to executive and non-technical audiences 
 
Demonstrated success in business development, including proposal shaping, solution positioning, and supporting deal closures 
 
Ability to operate effectively in both strategic advisory and hands-on technical leadership capacities 
 
Bachelors degree required; advanced degree preferred 
 
Other Information: 
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $169,400.00 - $296,500.00. 
CGI's benefits are offered to eligible professionals on their first day of employment to include:
 
. Competitive compensation 
. Comprehensive insurance options 
. Matching contributions through the 401(k) plan and the share purchase plan 
. Paid time off for vacation, holidays, and sick time 
. Paid parental leave 
.Learning opportunities and tuition assistance 
. Wellness and Well-being programs 
 
#LI-RS2
</div><div><h2 class="jobSectionHeader">Skills:</h2>
<ul><li>Artificial Intelligence</li>
<li>Business Development</li>
<li>CGI CPMF</li>
<li>Generative AI</li>
<li>Leadership</li>
</ul></div><div><h2 class="jobSectionHeader">What you can expect from us:</h2>
Together, as owners, lets turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. 
 
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our teamone of the largest IT and business consulting services firms in the world. 
 
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. 
 
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. 
 
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members. 
 
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. 
 
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</div></div>

Director, Generative AI & Intelligent Automation

QCC GH Petroleum

Head of AI &amp; Machine Learning | QCC GH PetroleumLocation: Muttrah Business Tower, Muscat, OmanSalary: OMR 4,000 per monthJob Type: Full-time / Executive LeadershipJob DescriptionQCC GH Petroleum is seeking a visionary Head of AI &amp; Machine Learning to spearhead our digital transformation and lead the integration of advanced intelligence into our refinery and upstream operations. Based in the prestigious Muttrah Business Tower, you will be responsible for defining the AI roadmap that optimizes production, enhances safety, and drives high-level predictive maintenance across our assets.As a senior leader, you will oversee a multi-disciplinary team of data scientists and engineers, translating complex petroleum engineering challenges into scalable AI solutions. With a highly competitive salary of OMR 4,000 per month, this role offers a unique opportunity to shape the future of energy in Oman through cutting-edge technology.Key Responsibilities<ul><li>Strategic Leadership: Define and execute the enterprise-wide AI/ML strategy, aligning technical initiatives with the commercial goals of QCC GH Petroleum.</li><li>Operational Optimization: Develop predictive models for refinery yield optimization, reservoir management, and equipment failure detection.</li><li>Team Building: Lead, mentor, and scale a high-performing team of AI researchers, ML engineers, and data analysts.</li><li>AI Governance: Establish frameworks for data ethics, model security, and governance to ensure the responsible deployment of AI in critical infrastructure.</li><li>Cross-Functional Collaboration: Partner with the Engineering and Operations departments to integrate AI insights into daily workflows at the Muttrah Business Tower and field sites.</li><li>Innovation: Stay at the forefront of Generative AI, Computer Vision, and Reinforcement Learning to maintain our competitive edge in the regional oil and gas market.</li></ul>Qualifications &amp; Requirements<ul><li>Education: PhD or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Petroleum Engineering (with a data focus), or a related field.</li><li>Experience: Minimum 10+ years in AI/ML, with at least 5 years in a leadership or executive capacity. Experience in the Energy or Industrial sector is highly advantageous.</li><li>Technical Mastery: Deep expertise in Python, TensorFlow/PyTorch, and cloud-native AI services (Azure/AWS).</li><li>Industry Knowledge: Familiarity with IoT sensors, SCADA systems, and industrial data pipelines.</li><li>Communication: Exceptional ability to present AI value propositions to C-suite executives and non-technical stakeholders.</li></ul>Benefits<ul><li>Tax-Free Salary: A premier monthly compensation of OMR 4,000.</li><li>Prime Location: Work from the heart of Muscat&rsquo;s business district in Muttrah.</li><li>Impact: Direct influence on the digital evolution of a growing petroleum leader in the GCC.</li><li>Relocation Support: Comprehensive package for international candidates (where applicable).</li></ul>How to ApplyAre you ready to lead the AI revolution in the petroleum industry? Submit your CV and a summary of your most significant AI implementations via Indeed today.الراتب المدفوع: ﷼٠٫٠٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Head of AI & Machine Learning

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