About the job
Role Purpose
We are seeking a highly experienced and results-driven Senior Manager, Data Science & Engineering to lead our dynamic team. The ideal candidate will have a proven track record in managing data science and engineering initiatives, leveraging advanced analytics, machine learning, and big data technologies to drive strategic insights and solutions. This role requires strong leadership skills, technical expertise in data science and engineering, and a commitment to delivering innovative and impactful data-driven solutions.
Key Accountabilities & Activities
Key Responsibilities
- Provide effective leadership, mentorship, and direction to the data science and engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
- Develop and execute the strategic vision for data science and engineering initiatives, aligning with organizational goals and objectives.
- Collaborate with cross-functional teams, including IT, business analysts, and stakeholders, to identify business requirements and translate them into data science and engineering solutions.
- Oversee the design and implementation of robust data architectures, ensuring the scalability, reliability, and performance of data platforms.
- Drive the development and application of advanced analytics, machine learning, and predictive modeling techniques to derive actionable insights from large datasets.
- Manage and optimize big data technologies and infrastructure, such as Hadoop, Spark, and other distributed computing frameworks.
- Implement and enforce data governance policies, ensuring data quality, security, and compliance with regulatory requirements.
- Lead the integration of disparate data sources, both structured and unstructured, to create a unified and comprehensive view for analytics and reporting.
- Oversee the deployment of machine learning models into production environments, ensuring seamless integration with business processes.
- Implement key performance indicators (KPIs) to monitor and measure the success of data science and engineering initiatives, making data-driven decisions.
- Manage budgets for data science and engineering projects, including resource allocation, software licensing, and hardware procurement.
- Provide training and development opportunities for the data science and engineering team to enhance technical skills and stay current with industry advancements.
- Engage with internal and external clients to understand their data needs, provide insights, and deliver solutions that address business challenges.
- Foster a culture of experimentation and innovation, encouraging the exploration of new technologies and methodologies to enhance data science capabilities.
Background, Skills & Qualifications
Knowledge, Skills and Experience
- Strong technical background in data science, machine learning, and big data technologies.
- Leadership and management skills, with the ability to inspire and guide a team to achieve organizational goals.
- In-depth knowledge of data science methodologies, statistical analysis, and predictive modeling.
- Experience with big data technologies, data warehouses, and data lakes.
- Proficiency in programming languages such as Python, R, or Scala.
- Excellent communication and interpersonal skills, with the ability to convey complex technical information to both technical and non-technical stakeholders.
- Familiarity with data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Proven track record of delivering data-driven solutions that have a tangible impact on business outcomes.
Qualifications
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Proven experience as a Senior Manager in Data Science & Engineering, with a minimum of 6 to 8 years.
- Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
