My client, an enterprise-size company with business across the globe, is now urgently hiring a Data Analytics and Science Maanger to lead the internal team.
Responsibilities:
- Lead data analytics initiatives by translating business requirements into actionable insights and scalable analytics solutions.
- Design and implement data-driven solutions that balance cost, capability, performance, and speed to market.
- Develop, enhance, and maintain the enterprise data platform, ensuring robust analytics capabilities that support decision-making and business process improvements.
- Define and govern data models, ensuring compliance with organizational and industry standards.
- Manage the end-to-end delivery of analytics projects, ensuring data quality, completeness, and timely execution.
- Evaluate emerging technologies and recommend cost-effective innovations to strengthen the analytics ecosystem.
- Partner closely with business stakeholders, digital teams, and IT functions to align analytics initiatives with strategic objectives.
- Communicate project status, risks, and outcomes effectively to stakeholders at all levels.
- Ensure an appropriate balance between data privacy, governance requirements, and business analytics needs.
- Drive the adoption of advanced analytics, machine learning, and artificial intelligence solutions to generate business value and support digital transformation.
Requirements:
- Minimum 8 years of experience in IT, with strong expertise in solution design, project delivery, and system integration.
- Proven ability to develop technology solutions, lead initiatives, and make sound decisions with minimal supervision.
- Strong experience in performing root cause analysis on data, systems, and business processes to identify opportunities for improvement and answer critical business questions.
- Hands-on experience designing and delivering analytics solutions on Microsoft Azure, Azure Databricks, Data Factory,
- Functions, Storage, SQL Database, Synapse Analytics, Data Lake, and Logic Apps.
- Experience in developing and deploying machine learning and AI-driven solutions.
- Exposure to generative AI technologies and custom AI agent development using platforms such as Microsoft GPT, Qwen, Llama, or similar technologies is an advantage.
- Experience in the aviation industry is preferred but not essential.
- Demonstrated experience leading, coaching, and mentoring technical teams.
Education & Qualifications
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related discipline.
- Professional certifications in Microsoft Azure Data Analytics, Power BI, or related technologies are advantageous.
- Strong analytical and problem-solving skills with the ability to perform effectively under pressure.
- Excellent communication and interpersonal skills, both written and verbal.
- Ability to collaborate effectively with cross-functional stakeholders.
- Self-motivated, proactive, and capable of working independently with minimal supervision.
- Passionate about emerging technologies and continuous learning, with the ability to quickly adapt to new tools and methodologies.
- Strong project ownership mindset with the ability to deliver initiatives from concept through implementation
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