Supply Chain Information Systems Management: (50%)

Lead the design, implementation and maintenance of health supply chain information systems, ensuring alignment with the requirements and priorities of the Kenya Ministry of Health (MoH).
Facilitate the application of USAID's Supply Chain Information System Maturity Model (SCIMM) to help the Kenya MoH evaluate their supply chain systems' capabilities and co-create a strategy to reach Level 3 maturity within the project period.
Oversee the development and customization of data management solutions to support the tracking, monitoring, and reporting of health commodities across the supply chain.
Collaborate with technical teams and stakeholders to identify system requirements, functionalities, and integration points.
Provide guidance and support to project and government staff on data quality and management best practices, system usage, and troubleshooting.
Work with the Data Analytics team to ensure data quality, visibility, and use for decision-making.
Monitor system performance, data quality, and security protocols to safeguard sensitive health information.
Develop and maintain documentation, including system specifications, user manuals, and standard operating procedures.
Liaise with the Kenya Ministry of Health and other partners to coordinate technical assistance activities and facilitate knowledge sharing.
Stay abreast of emerging trends and technologies in health supply chain management, information systems, and data analytics.

Data Management: (50%)

Work with the Data Analytics team to support the Kenya government to develop and implement data analytics frameworks and methodologies to measure project performance and impact on health supply chain operations
Work with the Research, Evidence and Learning (REL) team to design and manage data collection systems, ensuring the accuracy, completeness, and timeliness of data inputs from various sources (e.g. health facility reports, KEMSA, and MEDS etc.)
Communicate complex data insights in a clear and concise manner in a variety of formats, including dashboards, reports, presentations etc. to project stakeholders, donors, and government counterparts, incorporating data storytelling best practices
Provide technical guidance and capacity building support to project and government staff on data analytics tools, techniques, and data review and data use best practices
Facilitate or support data review processes, using data analysis to conduct root cause analysis and identify opportunities for process optimization, efficiency gains, and performance improvements
Work with the government and other partners to build a culture of data-driven decision-making and continuous improvement to enhance supply chain performance
Design and deploy dashboards on data intelligence platforms like PowerBI, Tableau, etc
With support from the Data Analytics team, conduct advanced statistical analyses and modeling to identify trends, patterns, and insights in health supply chain data
Collaborate with technical teams to develop performance indicators, targets, and benchmarks aligned with project objectives and Ministry of Health priorities

Competencies:

VillageReach has ten (10) Organizational Competencies that describe how we work together and get things done that are grouped into three strategic areas of Achieving Great Results, Setting Direction and, Bringing Others With you. For a full description, please download our Organizational Competency document.

Achieving Great Results:

Risk Taking and Innovation
Key Behaviors: Comfort with ambiguity, curiosity, adaptability, unconstrained and undeterred creativity, resourcefulness
Business Judgement
Key Behaviors: Getting to root causes, understanding environment, navigating complexity and ambiguity, entrepreneurial energy
Building Strong Teams
Key Behaviors: Trust in Subject Matter Experts (SME's); radical candor to resolve conflict, hold each other accountable as colleagues, focused on results, commitment to mission

Setting Direction:

Compelling Communication
Key Behaviors: Clear and evidence-based communication, audience adaptability, curious listener
Resilient Self Leadership
Key Behaviors: Self-aware, plan how one shows up, emotionally intelligent, use one's own agency and takes accountability
Stewardship and Personal Alignment
Key Behaviors: Take ownership, display ethical conduct, effective at resource management, alignment of personal objectives with organizational goals and mission, focus on continuous improvement and sustainability

Bringing Others with You:

Influencing Leadership
Key Behaviors: Cultivate trust, influences to make change, navigate the matrix structure
Radical Partnership
Key Behaviors: Share information and credit, address conflict, increase impact through collaboration, political and contextual awareness
Cultivates a Growth Mindset
Key Behaviors: Seek out diverse input, demonstrate flexibility in thinking and curiosity, embrace challenges, demonstrate persistence, seek learning opportunities
Cultural Intelligence and Inclusion
Key Behaviors: Continuous learning and ally-ship across cultural lines, challenge prejudice and bias, modeled in one's own behavior

Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Supervisory Responsibilities:

This position will directly supervise the three Specialists, Data Performance and Systems and is subject to supervision of other staffing as needed. Responsibilities include interviewing, hiring, and training employees; planning, assigning and directing work; monitoring performance; rewarding and disciplining employees; and addressing complaints and resolving problems.

Education & Experience:

Required qualifications:

Bachelor's degree in computer science, information systems, public health, statistics, epidemiology, M&E, data science, public health, or a related field. Master's degree is preferred
At least 8 years' experience in public health and/or data sciences related experience; experience working in public health/digital health programs and research highly desirable
Demonstrated experience working closely with the Kenyan government at National and/or County level and deep understanding of the Kenya data and digital ecosystem, including but not limited to, government policies, systems, existing dashboards, and existing data review processes
Strong technical proficiency in database management, data standards, data modeling, and system integration
Proficiency in business intelligence software (e.g., Tableau, Power BI) and statistical software (e.g., R, Python)
Excellent communication, presentation, and interpersonal skills, with the ability to convey highly technical information and complex data in a concise manner to diverse audiences
Proven experience designing, implementing and managing health electronic supply chain information systems (for example OpenLMIS, Logistimo, etc.)
Familiarity with health supply chain processes, including procurement, warehousing, distribution, and logistics management

Preferred qualifications:

Proven experience in data analytics, statistical modeling, and performance management in the context of public health or health supply chain systems
Experience supervising and/or managing data analytics teams and setting data analytics strategy for improving uptake of data in decision-making
Demonstrated ability to synthesize and absorb various types of data and evidence, especially pertaining to health access, technology adoption, and related public health fields;
Strong analytical thinking, problem-solving, and decision-making skills
Familiarity with USAID's SCIMM is highly desirable
Certifications in relevant technologies (e.g., Oracle, SAP, DHIS2). a plus
Certifications in data analytics or related fields

Other Qualifications:

Ability to multitask, prioritize tasks, and work effectively under pressure
Proven experience in data analytics, statistical modeling, and performance management in the context of public health or health supply chain systems
Demonstrated ability to synthesize and absorb various types of data and evidence, especially pertaining to health access, technology adoption, and related public health fields
Strong analytical thinking, problem-solving, and decision-making skills
Ability to manage multiple diverse and competing tasks in a fast-paced environment by setting priorities and understanding how to leverage resources across the organization
Established cultural competency in partnering with racial, cultural and linguistically diverse groups
Demonstrated understanding of challenges with working in rural, underserved and low-income context; experience living in and/or working in a low-income country a plus
Proficient in Microsoft Office Suite (Word, PowerPoint, Outlook, Excel) and comfortable in a fast-paced technical environment