The Head of Data and Analytics is responsible for the strategic direction, implementation, and management of data and analytics platforms that align with business needs, adhere to best practices, and maximize the organization's data capabilities. This visionary and forward-thinking leader will continuously explore and integrate modern technologies, including AI and machine learning, to drive innovative solutions and competitive advantages for the company.
The winning candidate will be committed, passionate, energetic, responsible, and exhibit good judgment. They will have a collaborative spirit, the ability to adapt to working with other technologists and business leaders and encourage collaboration and knowledge sharing with the larger community of technology resources across the portfolio.
Qualifications:
At least 7 years of experience in a senior IT leadership role overseeing data and analytics platforms.
At least 7 years of software engineering and architecture experience.
Experience in the full lifecycle of software development projects, including business process design, requirements analysis, feasibility studies, software design, programming, testing, deployment, installation, and operational management.
Proven expertise in data architecture and cloud technologies, particularly AWS, is essential.
Strong understanding of data governance and quality best practices.
Proficient in data modeling and developing predictive, actionable data capabilities.
Demonstrated experience in overseeing large-scale projects and managing vendor relationships.
Strong passion and hands-on experience with AI, machine learning, and advanced analytics technologies.
Experience in managing off-shore and on-shore IT delivery centers.
Experience with relational and dimensional database modeling and implementation.
Strong experience designing and deploying full-stack data analytics platforms, including the use of data warehouse technologies and data visualization tools such as PowerBI and Tableau.
Strong experience with both real-time and batch pipelines-based data integration frameworks.
Experience with visual modeling tools, including UML.
Experience in the full life cycle of complex software deployment projects using structured methodologies, including Agile/Scrum and SDLC.
Thoughtful practitioner of software engineering methodologies, frameworks, and tools.
Hands-on experience with Databricks and Apache Airflow a plus.
Bachelors degree in Computer Science or equivalent work experience.
Masters degree in Computer Science, MIS is a plus
Category Code: JN008
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Hospitality
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