What Jobs are available for AI Strategy in Bahrain?

• Develop and refine AI and data science strategies for clients, aligning with their business objectives and market landscape.
• Lead the design and development of advanced analytical models and machine learning solutions.
• Identify new opportunities for data-driven innovation and AI application within client organizations.
• Manage data science projects from conceptualization to deployment, ensuring timely and successful delivery.
• Collaborate with clients to understand their data infrastructure, challenges, and opportunities.
• Mentor and guide junior data scientists and analysts, fostering a culture of excellence and continuous learning.
• Communicate complex analytical findings and strategic recommendations to C-level executives and stakeholders.
• Stay current with the latest advancements in AI, machine learning, statistical modeling, and data science techniques.
• Contribute to the development of the firm's data science and AI thought leadership.
• Drive business development efforts, including contributing to proposals and client pitches.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of experience in data science, with a significant focus on AI strategy, machine learning, and analytics.
• Proven track record of leading successful AI and data science projects and teams.
• Deep understanding of various machine learning algorithms, statistical modeling techniques, and AI platforms.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Exceptional analytical, strategic thinking, and problem-solving skills.
• Outstanding communication, presentation, and stakeholder management skills.
• Experience in management consulting or advising clients on technology strategy is highly desirable.

• Lead client engagements focused on developing and implementing comprehensive AI strategies.
• Advise senior executives on opportunities to leverage AI, machine learning, and data analytics for business growth and transformation.
• Conduct thorough assessments of client capabilities and market landscapes to identify strategic AI initiatives.
• Design and oversee the execution of AI roadmaps, ensuring alignment with business objectives.
• Develop innovative solutions and frameworks for AI governance, ethics, and responsible deployment.
• Manage and mentor consulting teams, fostering a collaborative and high-performance environment.
• Build and maintain strong relationships with key client stakeholders at the executive level.
• Contribute to the firm's intellectual capital through thought leadership, research, and publications.
• Drive business development efforts, including proposal writing and client presentations.
• Stay at the forefront of AI advancements and their business implications.

• Master's or PhD in Computer Science, Engineering, Business, or a related field.
• Minimum of 10 years of progressive experience in management consulting, with a strong specialization in AI strategy and implementation.
• Proven track record of successfully leading complex AI transformation projects for large organizations.
• Deep understanding of various AI technologies (e.g., NLP, computer vision, deep learning) and their business applications.
• Exceptional strategic thinking, analytical, and problem-solving skills.
• Outstanding leadership, communication, and client management capabilities.
• Demonstrated ability to influence and advise C-suite executives.
• Experience in building and leading high-performing consulting teams.
• Ability to thrive in a demanding, fully remote work environment.
• Published works or recognized contributions to the field of AI are highly valued.

• Lead client engagements focused on AI strategy development and implementation.
• Assess clients' current capabilities and identify opportunities for AI adoption.
• Develop comprehensive AI strategies and roadmaps tailored to client needs.
• Advise clients on AI governance, ethics, and responsible AI practices.
• Facilitate workshops and discussions with senior stakeholders to drive alignment and decision-making.
• Conduct market research and competitive analysis related to AI trends and technologies.
• Build and maintain strong client relationships.
• Mentor and develop junior consultants.
• Contribute to the firm's knowledge base and thought leadership in AI.
• Develop proposals and contribute to business development efforts.

• Master's degree or MBA from a top-tier institution; Ph.D. in a relevant field is a plus.
• Extensive experience in management consulting, with a proven track record in technology strategy or digital transformation.
• Deep understanding of AI technologies, including machine learning, natural language processing, and generative AI, and their business applications.
• Strong analytical and problem-solving skills, with the ability to structure complex problems.
• Excellent communication, presentation, and interpersonal skills.
• Proven ability to lead teams and manage complex client projects.
• Experience in developing business cases and financial models for technology investments.
• Familiarity with change management principles and experience guiding organizations through transformation.
• Ability to travel to client sites as needed.

Are you a strategic technology leader ready to shape the future of IT within a fast-evolving enterprise? We are seeking a
Head of IT Strategy & Governance Transformation
to drive technology vision, performance excellence, and operational governance across the organization.

In this
senior leadership role
, you will work alongside the
Chief Information & Digital Officer
to define and deliver the organization's technology vision. You'll play a central part in shaping how technology supports business outcomes - ensuring that strategic initiatives are aligned, governance structures are robust, and the IT function operates with agility and efficiency.

Key Responsibilities

• Shape and continuously refine the
  enterprise IT strategy
  , ensuring alignment with business goals and future growth priorities.
• Strengthen the
  IT governance framework
  , driving accountability, financial transparency, and proactive risk management.
• Establish and track
  performance metrics
  that measure value delivery, operational efficiency, and service excellence.
• Lead the evolution of the IT operating model, building a culture focused on scalability, innovation, and continuous improvement.
• Champion collaboration across IT, digital, and business teams to ensure cohesive execution of strategic initiatives.
• Oversee
  vendor relationships, cybersecurity posture, and compliance standards
  , ensuring consistent governance and value realization.
• Act as a trusted advisor on
  digital transformation programs
  , contributing to the design and execution of enterprise-level change.

About You

• At least
  15 years of progressive IT leadership experience
  , with a strong background in strategic planning, governance, and performance management.
• Demonstrated success in
  driving transformation initiatives
  and modernizing technology operations.
• Deep understanding of
  emerging technologies
  and how to leverage them to deliver measurable business outcomes.
• Strong executive presence with the ability to
  influence, engage, and align senior stakeholders
  .
• Forward-thinking and analytical, with a balance of strategic vision and hands-on problem-solving ability.
• Bachelor's or Master's degree in
  Information Technology, Computer Science
  , or a related discipline.

Why Join?

This is a rare opportunity to shape the strategic direction of a forward-looking technology function. You'll drive enterprise-wide impact, modernize IT governance, and play a key role in advancing digital transformation across the organization - all within a dynamic, growth-focused environment that values innovation and leadership.

• Lead client engagements focused on technology strategy, digital transformation, and innovation management, overseeing project teams and ensuring high-quality deliverables.
• Conduct in-depth analyses of client industries, market trends, and competitive landscapes to identify strategic opportunities and challenges related to technology and innovation.
• Develop comprehensive technology roadmaps, innovation frameworks, and digital transformation strategies tailored to client needs.
• Advise C-suite executives and senior leaders on emerging technologies (e.g., AI, ML, cloud, IoT, blockchain) and their potential business impact.
• Facilitate workshops and brainstorming sessions to drive ideation and co-create innovative solutions with clients.
• Develop compelling business cases for technology investments and innovation initiatives, securing stakeholder buy-in.
• Guide clients through the implementation and adoption of new technologies and innovative practices.
• Build and nurture strong, trusted relationships with senior client stakeholders.
• Contribute to the firm's growth through business development activities, including proposal development and client relationship management.
• Mentor and coach junior consultants, fostering their development as experts in technology strategy and innovation.

• Master's degree or MBA from a top-tier institution; Ph.D. in a relevant technical field is a plus.
• Minimum of 8 years of experience in management consulting, technology strategy, innovation consulting, or a related field.
• Proven track record of successfully advising clients on technology-driven strategies, digital transformation, and innovation initiatives.
• Deep understanding of current and emerging technologies and their application in various business contexts.
• Exceptional analytical, strategic thinking, and problem-solving abilities.
• Superior communication, presentation, and interpersonal skills, with the ability to influence senior decision-makers.
• Demonstrated experience in leading client engagements, managing project teams, and driving business development.
• Experience in developing and implementing go-to-market strategies for innovative products or services.

• Conduct comprehensive assessments of client technology landscapes and business processes to identify areas for improvement and innovation.
• Develop strategic roadmaps for technology adoption, modernization, and digital transformation initiatives.
• Advise C-suite executives and IT leaders on best practices in technology selection, implementation, and governance.
• Lead engagements focused on optimizing IT infrastructure, cloud migration strategies, and cybersecurity frameworks.
• Facilitate workshops and interviews with stakeholders to gather requirements and build consensus on strategic directions.
• Analyze market trends and emerging technologies to provide forward-looking insights and recommendations.
• Develop business cases and financial models to support technology investments and transformations.
• Manage project teams, ensuring timely delivery of high-quality deliverables in a virtual environment.
• Contribute to the development of intellectual property and thought leadership in the technology consulting domain.
• Build and maintain strong client relationships, acting as a trusted advisor throughout the engagement lifecycle.

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.

This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.

• Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
• Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
• Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).

• 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
• Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
• Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
• Familiarity with vector databases, ETL pipelines, and unstructured data handling.
• Knowledge of government IT standards or secure deployments is a plus.

To be discussed

• Design, develop, and implement machine learning models and algorithms.
• Preprocess, clean, and analyze large datasets for model training.
• Perform feature engineering and selection to enhance model performance.
• Train, evaluate, and optimize machine learning models.
• Deploy models into production environments and monitor their performance.
• Collaborate with data scientists and software engineers on AI initiatives.
• Research and stay current with the latest advancements in machine learning and AI.
• Develop and maintain ML pipelines and infrastructure.
• Troubleshoot and debug machine learning systems.
• Document model designs, methodologies, and results.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related field.
• 3-5 years of experience in machine learning engineering or a similar role.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong understanding of various machine learning algorithms (e.g., supervised, unsupervised, deep learning).
• Experience with cloud platforms (AWS, Azure, GCP) for ML development is desirable.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Experience in MLOps and model deployment is a significant advantage.
• Ability to work effectively in a hybrid work environment.