Lead and oversee the Data Analytics initiatives within the organization. Manage the Data

Management and Data Products portfolio.

Responsibilities:

• Develop and implement data analytics strategies in alignment with business objectives.

• Provide technical expertise and architectural guidance for data analytics projects.

• Manage and mentor a team of data analysts, data scientists, and specialists.

• Collaborate with cross-functional teams to identify opportunities for leveraging data and AI to drive business growth and innovation.

• Cultivate a data-driven culture within the organization and promote best practices for data governance and data management.

• Build and maintain relationships with internal stakeholders and external partners to ensure the successful execution of data analytics projects.

• Negotiate contracts and manage vendor relationships for data analytics tools and services.

• Prepare and deliver regular reports and presentations on the progress and impact of data analytics initiatives to C-level management.

• Stay current with emerging trends and technologies in data analytics, AI and cloud computing.

• Lead budgeting and cost optimization efforts for data analytics projects.

• understanding potential impact of competing technologies, assessing their strategic significance, defining their strategic role and scope, roadmap, relationship to existing standards, and periodically reviewing those standards.

• Provide expert consultancy and coaching on architectural patterns and solution designs to project teams.

Skills

• Bachelor's or Master's degree in computer science, data science, or a related field.

• 12+ Years’ experience in handling Enterprise Data

• Proven experience in a leadership role within data analytics, preferably as a Senior

Manager in Data Analytics or similar position.

• Strong technical skills and architectural knowledge in data analytics, AI, and cloud

technologies.

• Demonstrated expertise in stakeholder management, negotiation, and vendor

management.

• Experience reporting directly to C-level management and presenting complex technical

concepts in a clear and concise manner.

• Familiarity with diversified data products, data lakes technologies.

• Proficiency in budgeting, forecasting, and cost optimization techniques for data analytics projects.

• Excellent communication skills and the ability to collaborate effectively with diverse teams.

• Strong analytical and problem-solving abilities, with a results-oriented mindset.

• Certifications in data analytics, AI, or cloud computing (e.g. TOGAF, CDMP, Cloud

Certified Solutions Architect) are a plus.