Manager- Data Analytics and AI

Job Scope:

We are seeking a forward-thinking Data, Analytics & AI Manager to lead and accelerate our digital transformation initiatives through data-driven decision-making and advanced AI capabilities. This role bridges business strategy and technology, driving enterprise-wide adoption of data, analytics, and artificial intelligence to unlock business value and innovation. The ideal candidate combines strong business acumen with technical expertise and a passion for scaling data platforms, implementing AI use cases, and fostering a data-driven culture.

RESPONSIBILITIES AND DUTIES:

Digital Transformation Leadership

• Define and execute the data, analytics, and AI strategy aligned with business transformation goals
• Partner with senior leadership to identify high-impact opportunities for AI and advanced analytics
• Lead enterprise initiatives that modernize data capabilities and support digital business models Data & Analytics Strategy
• Develop and oversee the enterprise data architecture (data lake, warehouse, real-time pipelines)
• Ensure high-quality, governed, and secure data across all systems
• Establish KPIs, dashboards, and reporting frameworks to enable decision-making AI & Advanced Analytics
• Identify, prioritize, and deliver AI/ML use cases (e.g., predictive analytics, automation, personalization)
• Lead development, deployment, and scaling of AI models into production
• Drive adoption of emerging technologies such as generative AI, machine learning, and automation Team Leadership
• Build and lead a cross-functional team of data engineers, data scientists, and analysts
• Promote an agile and collaborative culture focused on innovation and continuous improvement
• Upskill the organization in data literacy and AI awareness Stakeholder Engagement
• Act as a key advisor to business units on data and AI opportunities
• Translate complex analytics into actionable business insights
• Manage vendor partnerships and external technology providers Governance & Compliance
• Establish data governance, privacy, and security frameworks
• Ensure compliance with regulatory requirements and organizational policies
• Manage ethical use of AI and responsible data practices

Qualifications:

• Education: Bachelors or Masters degree in Data Science, Computer Science, Engineering, Information Systems, or related field
• Experience: 710+ years in data, analytics, and/or AI roles • Proven experience leading digital transformation or enterprise data initiatives
• Strong track record delivering analytics or AI projects with measurable business impact.

Technical Skills

• Expertise in data platforms (e.g., Azure, AWS, GCP)
• Strong knowledge of: o Data engineering (ETL/ELT, data pipelines) o BI tools (Power BI, Tableau, etc.) o Machine learning frameworks and AI tools
• Familiarity with modern data architectures (lakehouse, data mesh) Soft Skills
• Strong strategic thinking and problem-solving ability
• Excellent communication and stakeholder management skills
• Experience managing and mentoring teams
• Ability to translate business needs into technical solutions