The Role
Our growing Technology client is looking for a Director of Data Science & Engineering who thrives on working in a fast-paced, highly flexible environment. This is a senior leadership position in the Technology organisation reporting directly to the CTO. The successful candidate will be responsible for leading a team of Data Engineers, Data Scientists, and Business Intelligence Analysts to drive the development and delivery of advanced data-driven products and solutions. You will play a pivotal role in shaping the data strategy, leveraging data assets to enhance business outcomes, and fostering a culture of data-driven decision-making, leveraging cutting-edge technologies to drive innovation and enhance business outcomes.
Key Responsibilities:
- Lead and mentor a cross-functional team of Data Engineers, Data Scientists, and Business Intelligence Analysts.
- Set clear objectives, provide guidance, and foster a collaborative and innovative work environment.
- Ensure the team's professional development and growth.
- Work with the Product team to develop and execute a comprehensive data product strategy aligned with organizational goals and objectives.
- Identify opportunities for leveraging data assets to create innovative data products and solutions.
- Oversee the end-to-end development of data products, from ideation to deployment.
- Collaborate with cross-functional teams, including product managers, software engineers, network engineers, to integrate data products into their offerings.
- Establish and maintain data governance practices, ensuring data accuracy, security, and compliance with industry standards and regulations.
- Implement data quality measures and continuously improve data management processes.
- Drive the development of data analytics capabilities to derive actionable insights from data.
- Enable data-driven decision-making across the organization by delivering meaningful business intelligence and dashboards.
- Collaborate with internal and external stakeholders to understand their data needs and requirements.
- Stay abreast of emerging technologies, trends, and best practices in data science and engineering.
- Evaluate new tools, frameworks, and methodologies to enhance their data science and engineering capabilities.
- Foster a culture of continuous improvement and innovation.
Requirements
Basic Requirements and Qualifications:
- Bachelor's degree in computer science, Data Science, Engineering, or a related field.
- Proven track record of at least 12+ years in data-related roles, including data engineering, data science, or business intelligence, with at least 4 years in a leadership or management position.
- Strong background in data engineering principles
- Proficiency in programming languages such as Python, R, SQL, as well as data manipulation and analysis libraries and frameworks.
- Knowledge of big data technologies such as Snowflake, or NoSQL databases.
- Experience with machine learning, statistical modelling, and predictive analytics techniques.
- Demonstrated success in developing and deploying data-driven solutions that have a measurable impact on business outcomes.
- Experience of working with multi-vendor, 3rd parties, and client teams.
- Strong verbal and written communication skills with demonstrated experience engaging and influencing senior executives.
- Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations, and drive actions.
- High attention to detail including precise and effective customer communications and proven ability to manage multiple, competing priorities simultaneously.
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