Job Description
As the Head of Data & Analytics, you will play a crucial role in instilling a culture of data-driven decision-making within the organization. Responsible for formulating and executing data & analytics strategies, you will lead a team of data engineering professionals, shape data architecture, manage data solutions, and drive data analytics initiatives. This pivotal role is focused on utilizing data for a competitive advantage, operational optimization, and strategic goal achievement. We are seeking a hands-on leader with a profound understanding of data & cloud technologies, robust leadership skills, and a commitment to innovation.
Responsibilities
Team Leadership
- Lead and mentor a team of cloud engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Set clear goals and performance expectations for the team, providing regular feedback and coaching.
Data Strategy & Vision
- Develop and execute a comprehensive data and analytics strategy aligned with organizational goals.
- Promote a culture of data-driven decision-making across the organization.
Data Engineering Leadership
- Develop and execute a robust data engineering strategy covering data collection, ingestion, transformation, and storage.
- Lead a team of data engineers in designing and maintaining data pipelines and infrastructure.
Data Governance and Quality
- Establish and maintain data governance policies and procedures for data accuracy, consistency, and security.
- Oversee data quality initiatives, data cleansing, and integration efforts.
Data Architecture and Infrastructure
- Manage data infrastructure, including databases, data warehouses, and analytics tools.
- Collaborate with IT and Engineering teams to ensure scalable and efficient data infrastructure.
Data Technology and Tools
- Evaluate, recommend, and implement cutting-edge data technologies and tools for enhanced data processing and analysis capabilities.
Data Analysis & Insights
- Collaborate with business teams to lead data analysis projects, deriving actionable insights and supporting decision-making.
- Ensure effective communication of findings through data visualization and reporting tools.
Data Security & Compliance
- Ensure data privacy and compliance with relevant data protection regulations.
- Establish and maintain best practices for data security.
Disaster Recovery and Business Continuity
- Ensure disaster recovery plans and procedures for the data platform and tools, ensuring business continuity during system failures or disasters.
- Ensure business uptime of Platform Infrastructure.
Vendor Management
- Evaluate and manage relationships with cloud service providers, optimizing costs and leveraging new services and features.
- Review and define SLAs with various vendors, managing and tracking defined SLAs.
Qualifications, Experience & Expertise
- Bachelor’s or master’s degree in data science, Computer Science, Business, or a related field with above-average academic grades.
- Professional certifications in data management or analytics highly desirable.
- 15-20 years of experience with at least 3+ years in Capital Markets.
- Proven experience in data engineering, data analytics, and data strategy development.
- Strong engineering management background with expertise in data tools and technologies such as data warehouses, data lakes, ETL, and data visualization tools.
- Strong leadership and team management skills.
- Excellent problem-solving, critical thinking, and communication skills.
- Prior experience in building and leading data engineering and analytics teams.