Head Of Data
AI summary
Opareta, a seed-stage company building data infrastructure for mobile money agent networks in Africa, is hiring a Head of Data. This strategic and hands-on role involves leading data strategy, architecture, hiring, and product development, reporting to the CEO. Requires 8+ years experience, SQL skills, and senior-level expertise.
- Strategic leadership role with hands-on data wrangling (SQL, pipelines, dashboards)
- Report directly to CEO and Head of Product, with impact on commercial decisions
- Build and lead the data team end-to-end in a seed-stage company
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required8+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in factory, internship, part_timeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Head Of Data evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Kenya employer and the role in Not specified.
- Add concrete examples related to factory, internship, part_time, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- BrighterMonday Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- MediumThe employer is not clearly identified in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Head Of Data role in factory, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Kenya employer before the interview.
Ask what the first priorities will be in the role and how success will be measured.
Similar jobs to consider
Use AI to apply better
After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.
Original source description
Find a Job + + + + Search Head Of Data BrighterMonday Consulting Software & Data 2 months ago Easy apply Kenya Full Time IT & Telecoms Confidential Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Job summary You'll need to operate at two registers: strategic (defining where the data function goes over the next two to three years) and hands-on (writing SQL, debugging pipelines, shipping dashboards) until the team you build can take more of the latter off your plate. Min Qualification: Bachelors
Experience
Location: Kenya Job descriptions &
Level: Senior level
Length: 8 years Language Requirement: English Working Hours: Full Time - 8 to 5 Applicant
with a modern data stack — ours is Kafka, Postgres/BigQuery/Redshift, Airflow, dbt, Superset, but the specific tools matter less than the depth ● Cloud-native (we run a mix of GCP and AWS) ●
building customer-facing data products, not just internal reporting ● Comfort operating remotely with a distributed team Strong preferences: ●
working in or with developing markets at some point in your career ● Exposure to on-premise deployments (we have some; you can learn the rest on the job) ● Visualization depth in Tableau, Looker, or Superset for both internal and customer-facing use The kind of person who fits: ● Highly self-aware of how others perceive you and where your strengths work to your advantage in work relationships ● Strong planning or project management competencies ● Direct communicator, comfortable making decisions with incomplete
Requirements
Opareta builds the data infrastructure and physical distribution tools that mobile money agent networks across Africa run on. Our customers range from the continent's largest telcos and banks down to the individual agents, who are the last mile of financial inclusion in markets like Uganda, Sierra Leone, and Zambia. Years of transaction-level data across these networks have given us a moat that we're only beginning to turn into products. We're hiring a Head of Data to lead that next chapter. This is a foundational role: you'll inherit a small squad and a working stack, and you'll own the function end-to-end — strategy, architecture, hiring, and the data products themselves. You'll report directly to the CEO and Head of Product, with a seat at the table for commercial conversations, partner integrations, and roadmap decisions. Data is treated as a first-class function here, not a service desk. The role asks a lot. You'll need to operate at two registers: strategic (defining where the data function goes over the next two to three years) and hands-on (writing SQL, debugging pipelines, shipping dashboards) until the team you build can take more of the latter off your plate. We're a seed-stage company growing into something larger, which means real ambiguity, real constraints, and unusually high leverage on the decisions you make in your first year. Strategic leadership: ● Data Strategy & Roadmap: Lead evolution of our data-driven products and infrastructure (in collaboration with product and engineering leaders) with an eye for new products that we can uniquely bring to market because of our data moat ● Architectural oversight for our data warehouse, ETL pipelines, and reporting layers as well as significant problem-solving on integrations with new partners ● Organizational design: structure the team - you will identify additional key hires (e.g. data/analytics engineer or BI specialist) to complement your technical strengths ● SLAs: Define and maintain data uptime, quality, and freshness ● Ways of working: Establish the "Data Culture"—shaping how the rest of the business should expect to engage with you ● Business Development: You’ll be integral to demos, pitches, and strategic conversations around contract negotiations Day-to-day: ● Data wrangling: Hands-on execution within our stack across both cloud and on-premise environments. ● Prioritize between different data requests and execute on these
- we have both internal users and external partners who rely on our data pipelines and our reporting flexibility for daily decisions ● Planning: ○ Invest time in understanding new feature
○ Research and de-risk complex
(testing, code spikes/tracer bullets) ○ Learn when to collaborate with the engineering and product functions ○ Triage technical escalations from support teams and direct from clients ○ Document and prioritize technical debt ● Quality control and monitoring for data infrastructure ● Performance Accountability: Establish a cadence for how the function sets goals, communicates with other functions, and executes against goals ● Upskilling: You’ll spend time training clients as well as coaching internal teams on how to use reporting/any data-powered product to develop more data-driven decisions Must-haves: ● 8+ years in data roles, with 3+ years leading a team ● Expert SQL and Python ● Deep