Senior Manager, Data Engineering and Architecture at Living Goods

Roles And Responsibilities

• Collaborate with the product management, program management, and MEL teams to gather data requirements from key stakeholders.
• Lead the design, development, and maintenance of the organization's data warehouse infrastructure, ensuring a scalable architecture and robust data provenance.
• Spearhead the implementation of advanced data visualization techniques to generate meaningful insights to support performance monitoring and evidence-based decision-making.
• Oversee the design, development, and maintenance of data infrastructure, including databases, data warehouses, data lakes, and data processing systems.
• Supervise the development and optimization of data pipelines for collecting, cleaning, transforming, loading, analysing and visualizing data.
• Monitor data systems' performance and implement optimizations to ensure efficient data storage and retrieval.
• Lead, mentor, and manage data and dashboard engineers, providing guidance on best practices and professional development.
• Stay abreast of latest developments in data technologies and industry trends to drive innovation and continuous improvement in the organization's data capabilities.
• Identify and manage risks related to data management, including data quality, data privacy, and data security risks.

Skills & Competencies

• 10+ years of experience in a senior data management role, including data engineering, architecture, warehousing, and visualization. Preference will be given to candidates who have worked in the digital health sector.
• Expert knowledge of data modelling, database design, and data systems, including familiarity with various database technologies (e.g., MSSQL, Postgres, MySQL, CouchDB, MongoDB etc).
• Proficiency in developing, deploying, and maintaining scalable and secure data warehouses and data marts.
• Experience in leading, mentoring, and developing teams of data professionals.
• Ability to translate complex data concepts into understandable terms for non-technical stakeholders and ability to gather and interpret business requirements.
• Proficiency in using Business Intelligence (BI) tools, such as Power BI, Tableau or Superset, to create dashboards and other data visualizations.
• Strong problem-solving skills and ability to think creatively to overcome challenges and drive innovation in data management.
• Proven ability to successfully manage data-related projects, including planning, coordinating, and ensuring delivery within time and budget constraints.
• Comfort in a rapidly changing environment, with the ability to handle uncertainty and drive problem-solving initiatives.
• Ability to work collaboratively with cross-functional teams, including product management, IT, compliance, and business operations, to achieve project and organizational goals.

Minimum Qualifications

• A Master’s or bachelor’s degree in Information and Communication, Computer Science, Data Science, Statistics, Mathematics, or a related discipline.
• Professional certifications or equivalent experience in data management, ETL processes, data warehousing, data visualization, and managing large and complex datasets.