Business Intelligence Manager

Key Responsibilities

• Develop and implement a comprehensive data strategy aligned with OpenBet's business objectives. Establish data governance policies and procedures to ensure data quality, integrity, and security.


• Oversee data compliance with relevant regulations such as GDPR, CCPA, etc.


• Lead the design, development, and maintenance of robust data infrastructure, including data pipelines, warehouses, and ETL processes.


• Collaborate with cross-functional teams to identify and prioritize data needs, ensuring timely delivery of data solutions.


• Stay abreast of emerging technologies and best practices in data engineering, recommending innovations to enhance efficiency and scalability.


• Drive the development of insightful and actionable reports, dashboards, and visualizations to support strategic decision-making.


• Define KPIs and metrics to measure business performance, conducting in-depth analysis to uncover trends, patterns, and opportunities.


• Provide guidance and support to business stakeholders in interpreting and leveraging data insights effectively.


• Manage and mentor a team of Data Engineers, Data Analysts, and BI Developers, fostering a culture of collaboration, innovation, and continuous learning.


• Set clear performance expectations, conduct regular performance evaluations, and identify opportunities for skill development and career growth.


• Champion diversity and inclusion initiatives within the team, promoting a supportive and inclusive work environment.

Essential Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Business Administration, or a related field. Proven experience (5+ years) in business intelligence, data engineering, or a similar role, with a track record of success in leading complex data projects.


• Experience working with cloud-based data warehouses and analytics platforms such as Google BigQuery, Snowflake, Amazon Redshift, or Microsoft Azure Synapse Analytics, including proficiency in querying, data modeling, and performance optimization.


• Experience designing and implementing real-time data pipelines using Kafka or similar streaming platforms. Familiarity with related technologies such as Apache Spark Streaming, Apache Flink, or AWS Kinesis is a plus.


• Proficiency in ETL orchestration tools such as Apache Airflow for managing complex data workflows and dependencies.


• Strong leadership and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.


• Experience with cloud-based data technologies (e.g., AWS, Azure, Google Cloud) is preferred.

Desirable Qualifications

• Experience with version control platforms (e.g. GitHub, Gitlab, Bitbucket etc.)


• Experience with Jira and Confluence.

Personal Qualifications

• Fluent in English (written and spoken).


• You must have a strong work ethic and outstanding interpersonal skills.


• You must be self-motivated, a team-player and a creative thinker.