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Senior Manager, Data Engineering and Architecture at

4 months ago

Nairobi, Nairobi Area, Kenya Living Goods Full time
At Living Goods we empower people to improve the health of their families, friends and communities.

Living Goods supports networks of 'Avon-like' health entrepreneurs who go door to door to teach families how to improve their health and wealth and sell life-changing products such as simple treatments for malaria and diarrhea, safe delivery kits, fortified foods, clean cook stoves, water filters, and solar lights.

By combining the best practices from business and public health, we are dramatically lowering child mortality AND creating livelihoods for thousands of enterprising women.

Living Goods supports a network of over 2,000 micro-entrepreneurs in Uganda and Kenya who teach families in their communities how to improve health and well-being while selling affordable, high-impact products like basic medicines, fortified foods, water filters, clean cook-stoves, and solar lights.

As part of the Branch Team, you will play a key role in supporting Community Health Volunteers (CHVs) to deliver high quality health care to their communities and generate sales of critical products.

Summary


We are looking for a Senior Manager for Data Engineering and Architecture, responsible for the planning, implementation, and management of our data systems.

The successful candidate will work closely with our product management, programs, and MEL teams to understand data requirements and oversee the implementation of suitable solutions to ensure stakeholders' needs are satisfied.

Embedded within the Digital Health Team, this role will report to the Director of Software Engineering. The ideal candidate will bring extensive expertise in data engineering, data architecture, data processing and analytics.

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.

Requirements
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.