Chief Architect - Data & AI

We are seeking a dynamic and experienced leader for our Data Architecture and Data Science Practice. This role will be instrumental in shaping our organization's data strategy, driving innovation through advanced analytics, and ensuring robust data architecture to support our business objectives. 

Responsibilities: 

• Strategic Leadership: Develop and implement data strategies that align with organizational goals and objectives. Drive innovation and efficiency through the effective use of data. 

• Team Management: Lead and mentor a team of data architects, data engineers, and data scientists. Provide guidance and support to foster professional growth and collaboration within the team. 

• Data Architecture: Designing and maintaining scalable and efficient solutions to ensure data integrity, availability, and security across an organization's infrastructure. This includes translating business requirements into logical and physical data models, ensuring data is transformed correctly from source to target systems through detailed mapping, and converting business models into a comprehensive data platform. Data integration combines data from various sources into a unified view using ETL/ELT processes, data pipelines, and APIs, centralizing storage in data lakes and warehouses. An audit framework tracks and monitors data activities to ensure compliance and transparency, while scheduling and monitoring tools ensure data processes run smoothly and on time. Adhering to Service Level Agreements (SLAs) involves defining SLAs, tracking key metrics, managing incidents efficiently, and providing regular reports to stakeholders. This holistic approach supports business needs, ensures data quality, and maintains operational efficiency. 

• Advanced Analytics: Oversee the development and implementation of advanced analytics techniques, including machine learning, predictive modeling, and optimization algorithms. Drive the adoption of best practices and methodologies in data science. 

• Stakeholder Collaboration: Collaborate with stakeholders across the organization to understand business requirements and priorities. Translate business needs into data initiatives and deliver actionable insights to drive decision-making. 

• Technology Evaluation: Stay updated on emerging technologies and trends in data management and analytics. Evaluate new tools, platforms, and methodologies to enhance the organization's data capabilities. 

• Governance and Compliance: Establish and enforce data governance policies and procedures to ensure regulatory compliance, data privacy, and security. Implement best practices for data quality management and data lineage tracking. 

• Performance Monitoring: Define key performance indicators (KPIs) to measure the effectiveness of data practices. Monitor performance metrics, analyze trends, and identify areas for improvement. 

Qualifications: 

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. 

• Strong leadership experience in data architecture, data engineering, or data science. 

• In-depth knowledge of data architecture principles, data modeling techniques, and database technologies. 

• Proficiency in programming languages such as Python, R, SQL, etc. 

• Strong communication skills with the ability to translate technical concepts into business terms. 

• Experience working in a fast-paced environment and managing multiple priorities effectively