Job Role Insights

  • Date posted

    2026-05-22

  • Closing date

    2026-06-04

  • Hiring location

    Dar es Salaam

  • Career level

    Senior

  • Qualification

    Bachelor Degree Master’s Degree

  • Experience

    8 Years

  • Quantity

    1 person

  • Gender

    both

  • Job ID

    132517

Job Description

(Woman or Man)

Company: AXIAN Telecom – Digibank & Fintech

Job Overview

We are hiring a Data & Analytics Manager to lead and manage enterprise-level data architecture, analytics, and migration initiatives across fintech and digital banking platforms.

Locations

Antananarivo (Madagascar) • Islamabad (Pakistan) • Dar es Salaam (Tanzania)

Candidate Profile

  • Bachelor’s or Master’s Degree in Computer Science, Information Systems, Data Engineering, Statistics, Mathematics, or a related field
  • Minimum of 8 years of experience in:
    • Data engineering
    • Data architecture
    • Data delivery roles
  • At least 3 years of experience in fintech, mobile money, digital banking, or telecom
  • Hands-on experience owning enterprise data architecture (conceptual, logical, and physical data models)
  • Proven experience leading data migration in large-scale platform deployments (preferably core wallet or core banking systems)
  • Experience setting up analytics, business intelligence (BI), and regulatory reporting on new core platforms
  • Experience working across African markets, preferably multi-country
  • Strong understanding of data protection and reporting regulations

Key Responsibilities (Your Challenges)

  • Own and maintain current-state data architecture across legacy wallet and banking platforms, including:
    • Data models
    • Data flows
    • Interfaces and data lineage
  • Design and maintain target-state data architecture across:
    • Core wallet platform
    • Ecosystem systems (LMS, payment gateways, card management, agent management, KYC/AML, GL, reporting)
  • Define and execute end-to-end data migration strategies, including:
    • Data profiling
    • Extraction, mapping, transformation, and cleansing
    • Data loading and reconciliation
    • Parallel run, cutover, and rollback
  • Establish data quality frameworks and KPIs:
    • Completeness
    • Accuracy
    • Consistency
    • Timeliness
    • Uniqueness
    • Validity
  • Define and enforce data protection standards:
    • Encryption (at rest and in transit)
    • Key management
    • Data masking and tokenization
    • Secure handling of PII and financial data
  • Ensure smooth handover of BI/analytics tools and processes to BAU (Business-As-Usual) teams
  • Manage data migration teams and third-party vendors:
    • Ensure delivery against SOWs
    • Meet SLAs and quality standards

Closing Note

If this role fits your profile, grow with us.

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13 days left to apply

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