ai engineering director

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

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

<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>

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
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>

InfinTech Digital Design & Innovation Hub

Job Title: Engineering Program DirectorAbout the OpportunityWe are seeking a dynamic Engineering Program Director to lead large-scale digital engineering programs across software development, product delivery, and innovation initiatives. This is a high-impact leadership role where you will shape engineering strategy, drive execution excellence, and oversee cross-functional teams building next-generation digital solutions.If you are passionate about scaling engineering organizations, delivering complex technology programs, and leading high-performing teams, this role offers strong visibility, autonomy, and career growth in a fast-evolving innovation environment.Why This Role is Attractive<ul><li>Strategic leadership role with executive-level visibility</li><li>Opportunity to build and scale engineering programs from the ground up</li><li>Work across AI, cloud, digital platforms, and enterprise systems</li><li>High-growth environment with regional and international exposure</li><li>Competitive tax-free compensation package</li></ul>Key Responsibilities<ul><li>Lead end-to-end delivery of multiple engineering programs and digital initiatives</li><li>Define program strategy, execution roadmap, and technical governance frameworks</li><li>Manage cross-functional teams including software engineers, architects, and product managers</li><li>Ensure timely delivery of high-quality software solutions and platform releases</li><li>Align engineering execution with business and product strategy</li><li>Establish KPIs, reporting structures, and performance tracking systems</li><li>Drive Agile transformation and engineering best practices across teams</li><li>Oversee risk management, resource planning, and budget allocation</li><li>Collaborate with senior leadership on digital transformation initiatives</li></ul>Required Experience &amp; Skills<ul><li>10+ years in software engineering, IT program management, or technical leadership</li><li>5+ years in senior leadership roles (Engineering Manager, Program Director, Head of Engineering, or similar)</li><li>Strong background in Agile, Scrum, and large-scale software delivery</li><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Understanding of modern software architecture and enterprise systems</li><li>Proven ability to manage multiple concurrent engineering programs</li><li>Strong leadership, communication, and stakeholder management skills</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field</li></ul>Nice to Have<ul><li>Experience in digital transformation or consulting environments</li><li>Exposure to AI/ML-driven product development</li><li>Experience working in GCC or international markets</li><li>PMP, SAFe, or similar certifications</li></ul>Compensation<ul><li>Performance-based bonuses may apply</li><li>Executive-level package with long-term growth potential</li></ul>About UsInfinTech Digital Design &amp; Innovation Hub is a forward-thinking technology and engineering organization focused on delivering cutting-edge digital products, enterprise systems, and innovation-driven solutions. We work with regional and international partners to build scalable platforms, modern software ecosystems, and future-ready digital experiences.Why Work With UsWe value innovation, leadership, and execution excellence. You will join a team that is shaping digital transformation initiatives and working on impactful, large-scale engineering challenges in a collaborative and fast-paced environment.Apply NowIf you are ready to lead high-impact engineering programs and drive digital transformation at scale, we encourage you to apply today.Pay: KD4,000.000 - KD6,000.000 per monthWork Location: In person

Engineering Program Director

Cognition AI

<div><div>Location<div>
Riyadh</div></div><div>
Employment Type<div>
Full time</div></div><div>
Location Type<div>
Remote</div></div><div>
Department<div><div>
Sales</div>
Account Director</div></div></div>
 <div><div><div>We are an applied AI lab building end-to-end software agents.</div>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition&rsquo;s revenue growth and Devin&rsquo;s development.
You&rsquo;ll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups.
Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment.
In this role, you will:<ul><li><div>
Drive revenue for Cognition, owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies</div></li><li><div>
Navigate layered customer organizations including working directly with C-suite executives, Tech and AI leaders, procurement and legal stakeholders</div></li><li><div>
Develop strategies for sourcing, demoing the product, and closing opportunities with layered buying organizations</div></li><li><div>
Deeply understand the customer&rsquo;s technical pain points and priorities, and qualify the best use cases and teams to deploy Devin to large technology organizations</div></li><li><div>
Discover new use cases in our customers&rsquo; Tech organizations and overshare customer feedback with our product and engineering teams</div></li><li><div>
Focus on results - generate pipeline, revenue, and help build the best technical sales organization to bring Devin to market</div></li></ul>
Requirements for the role:<ul><li><div>
Demonstrate a track record of success selling deeply technical products to enterprise customers</div></li><li><div>
You have technical experience - either as a software engineer, sales engineer or forward deployed engineer. If not, you have an exceptional ability to learn and understand the complex technical problems and requirements our customers are trying to solve using Devin</div></li><li><div>
Thrive in ambiguous and rapidly changing environments &mdash; you&rsquo;re willing to move fast and quickly grow in scope and responsibility</div></li><li><div>
You have a demonstrated exceptional ability to learn</div></li></ul>
You might excel if you&hellip;<ul><li><div>
previously founded a startup</div></li><li><div>
successfully sourced and closed large, complex enterprise software deals
</div></li><li><div>were a software engineer or sales engineer, or studied computer science, but moved into go-to market roles to be closer to the customer</div></li><li><div>
are a competitive, highly ambitious person who loves working in high-intensity environments</div></li></ul>
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</div></div>

Account Director - MENA

Globant

<div>
 
 Tech Director (Head of Engineering)
 
 
 Globant &mdash; Riyadh, KSA
 
 
 
 
 Location:
 
 Riyadh, Saudi Arabia (on-site). Alternative locations: Jordan, Lebanon, UAE, Egypt &mdash; with regular travel to Riyadh required.
 
 
 
 Reports to:
 
 VP of Technology
 
 
 
 Direct scope:
 
 50+ engineers across back end and front end disciplines
 
 
 
 Role type:
 
 New role | Permanent | Leadership/Strategy
 
 
 
 About The Role
 
 
 
 This is a senior engineering leadership position responsible for the strategic direction, delivery performance, and technical maturity of Globant's software engineering function in the MENA region. The Head of Engineering will own the engineering roadmap, drive AI adoption, establish engineering culture and standards, and lead a growing organisation of 50+ engineers across back end and front end teams.
 
 
 
 Key Priorities
 
 
 
 <ul>
 <li>
 Improve delivery velocity &mdash; Identify and remove bottlenecks across the engineering lifecycle. Establish metrics, streamline release processes, and improve predictability of delivery across teams.
 </li>
 <li>
 Drive AI adoption across engineering &mdash; Define and execute a strategy for embedding AI into engineering workflows, tooling, and product development. Champion the use of AI-assisted development, testing, and operations to accelerate output and quality.
 </li>
 <li>
 Build engineering culture and processes &mdash; Establish engineering standards, governance, and ways of working. Improve tooling, development processes, and code standards across teams. Create a culture of ownership, technical excellence, and continuous improvement. Introduce career frameworks, knowledge sharing, and communities of practice.
 </li>
 <li>
 Tackle technical debt and platform modernisation &mdash; Assess the current estate, prioritise remediation, and lead modernisation efforts aligned with long-term architectural goals. Balance delivery demands with sustainable engineering practices.
 </li>
 <li>
 Scale the engineering organisation &mdash; Partner with talent acquisition to grow the team in line with business demand. Build a hiring strategy across Riyadh and alternative locations (Jordan, Lebanon, UAE, Egypt), ensuring quality and cultural alignment.
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Set the technical vision and engineering strategy aligned with business objectives
 </li>
 <li>
 Lead and develop engineering managers, SMEs, and senior engineers across all disciplines
 </li>
 <li>
 Own engineering delivery performance, reporting, and continuous improvement
 </li>
 <li>
 Collaborate closely with architecture, cybersecurity, product, delivery, design, QA, data, and DevSecOps/platform disciplines to ensure alignment and cohesive outcomes across the engineering organisation
 </li>
 <li>
 Represent engineering in senior leadership forums and client engagements
 </li>
 <li>
 Manage stakeholder relationships across the organisation and with external partners
 </li>
 <li>
 Champion modern engineering practices including DevSecOps, CI/CD, observability, and automation
 </li>
 <li>
 Ensure compliance with security, governance, and regulatory requirements
 
 
 
 </li>
 </ul>
 
 Technical Landscape
 
 
 
 The role provides strategic oversight across the following technology stack. Hands-on coding is not expected, but a strong understanding of the technologies in use and the ability to engage credibly with technical teams is required.
 
 
 
 Back End:
 
 NodeJS, Adobe Experience Manager, Apigee, RESTful APIs, microservices architecture, event-driven architecture, SQL and NoSQL databases, OAuth/JWT, message queuing and async processing.
 
 
 
 Front End:
 
 Flutter, Svelte, HTML5/CSS3/JavaScript/TypeScript, Android and iOS native development, component-based architecture, micro frontend patterns, progressive web applications, accessibility (WCAG), state management.
 
 
 
 AI &amp; Emerging Tech:
 
 AI-assisted development tooling, Agentic AI, LLMOps, AI integration into engineering workflows, evaluation of emerging AI/ML technologies for engineering productivity.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Significant experience leading engineering organisations of 50+ in a Tech/SaaS environment
 </li>
 <li>
 Proven track record of improving delivery velocity and engineering maturity at scale
 </li>
 <li>
 Experience introducing AI tooling and practices into engineering teams
 </li>
 <li>
 Strong understanding of back end and front end technologies &mdash; able to engage credibly with engineering teams and contribute to technical discussions
 </li>
 <li>
 Demonstrated ability to work effectively across disciplines including architecture, cybersecurity, product, delivery, design, and QA
 </li>
 <li>
 Experience building engineering teams across multiple geographies, ideally in the MENA region
 </li>
 <li>
 Strong stakeholder management and communication skills with senior/executive audiences
 </li>
 <li>
 Experience with engineering governance, standards, and platform modernisation
 </li>
 <li>
 Track record of building engineering culture, career frameworks, and communities of practice
 
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Experience in a consulting or digital services environment
 </li>
 <li>
 Experience working with Saudi Arabia's digital transformation landscape (e.g. Vision 2030 aligned programmes)
 
 </li>
 </ul>
</div>

Tech Director

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