Aldelia’s global management strategy delivers specialised services to the Oil & Gas sector from dedicated teams in each key strategic region. From these centres we can support our clients locally by being able to take advantage of the local labour markets whilst also having the ability to resource candidates internationally for technical, engineering and higher level positions which require industry leading professionals with international profiles. Each regional team is guided by a common set of processes and working practices within a robust operational structure to ensure a consistent high quality of delivery which our clients can depend on in any market. The origin of Aldelia gives a good indication of what the company was meant to be. Cedric Filet, whilst recovering from a rugby injury, established the company from his bedroom. The dream was to set up a recruitment consultancy which would compete with the top 5 Oil & Gas Recruitment Specialists in a matter of 5 years. To achieve that, Cedric focused on a gap he identified in the Oil & Gas industry: local content. Local content had long been considered a pain for international Oil & Gas firms. These firms understood the necessity of developing local content programs but struggled to implement them. When it came to choose a name, Cedric decided to find a name which would represent the strategic orientation of the company. The Aldelia name finds it origin from the Portuguese "Aldeia” which defines in Brazil people coming from small indigenous communities - tribes. The strategy paid off quickly with numerous contracts signed with major Oil & Gas companies.
KEY PURPOSE OF JOB
- The role will spearhead our advanced data and AI initiatives, while driving innovation across digital application platforms. The ideal candidate will have a strong technical and strategic background, a deep understanding of Microsoft technologies, and a passion for leveraging AI to solve real-world problems.
MAIN RESPONSIBILITIES
Practice Leadership
- Lead the Data & AI and Digital Application & Innovation practice, ensuring alignment with organizational goals and customer success metrics.
- Define and execute the practice strategy, roadmap, and priorities to deliver innovative solutions and achieve revenue targets.
- Collaborate with cross-functional teams to identify business opportunities and translate them into cutting-edge AI and data solutions.
- Stay updated on the latest trends in data, AI, and Microsoft technologies to maintain the practice's competitive edge. Technical Expertise
- Leverage expertise in Microsoft Fabric Technology to build scalable data solutions and manage end-to-end data pipelines.
- Drive data migration projects to Azure, ensuring secure and efficient transitions from legacy systems.
- Lead database modernization efforts, utilizing Azure-native technologies for enhanced performance and scalability.
- Design and implement solutions leveraging Azure OpenAI technologies, including Large Language Models (LLMs).
- Develop and integrate LLM applications using Azure AI Studio, catering to business-specific use cases.
- Architect end-to-end solutions for data-driven decision-making and predictive analytics.
- Lead PoC (Proof of Concept) and pilot projects to demonstrate business value and scalability.
- Work closely with clients to understand their business challenges and propose tailored solutions.
- Drive workshops and discovery sessions to gather requirements and educate stakeholders on the potential of Data & AI solutions.
- Develop and maintain strong relationships with Microsoft and other technology partners to maximize value delivery.
- Build, mentor, and lead a high-performing team of data engineers, AI specialists, and application developers.
- Provide training and upskilling opportunities to align team capabilities with emerging technologies.
GENERAL ANTICIPATED OUTCOMES OF ROLE
- Strategic Leadership
- Increased Customer Satisfaction
- Timely and successful delivery of projects
- Revenue Growth
- Team Development
JOB REQUIREMENTS EDUCATION
- Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.
EXPERIENCE
- 7+ years of experience in Data & AI, with at least 2 years in a leadership role.
PROFESSIONAL MEMBERSHIP/CERTIFICATIONS
- Certifications in Microsoft Azure (e.g., Azure Solutions Architect, Azure AI Engineer, or similar) are highly desirable.
Key Skills and Competencies
- Strategic thinker with a track record of delivering innovative solutions.
- Exceptional stakeholder management and client-facing skills.
- Excellent communication and presentation abilities, with a focus on simplifying technical concepts for diverse audiences.
- Proven ability to lead and mentor teams in a dynamic environment.
Knowledge The incumbent must have proficient knowledge required for the role:
- Industry product knowledge.
- Excellent organizational and interpersonal skills.
- Good negotiation and networking skills.
- Able to skillfully promote the company’s brand, values, and culture in every connection.
- Excellent communication and presentation skills (verbal and written).
Leadership Behavioral Proficiencies
- Enthusiastic promoter of the organization and opportunities.
- Superior analytical, evaluative, and problem-solving abilities.
- Outstanding organizational and time-management skills.
- Results-oriented and able to demonstrate a high level of ownership and accountability in delivering outcomes.
PERSONAL ATTRIBUTES
- The incumbent must have the following personal attributes:
- Strategic thinker.
- Strong business and commercial acumen.
- Professional confidence.
- Must be customer focused.
- Able to deliver results.
- Attention to details.
- Excellent interpersonal skills.
Method of Application
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