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Head, Data Governance

Оценка ИИ

Отличная вакансия для топ-менеджера в одном из самых быстрорастущих финтехов Африки с возможностью удаленной работы и масштабными задачами.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием более 9 лет опыта, глубокими техническими знаниями (SQL, Python, Data Mesh) и необходимостью управлять изменениями в культуре крупной организации.

Анализ зарплаты

Медиана150 000 $
Рынок120 000 $ – 180 000 $
Оценка ИИ

Предлагаемая роль Head of Data Governance в международном финтехе предполагает зарплату выше среднего по рынку, учитывая уровень ответственности и требования к техническим навыкам. Рыночные оценки для подобных позиций в глобальных компаниях варьируются от $120k до $180k в год.

Сопроводительное письмо

Dear Moniepoint Team,

I am writing to express my strong interest in the Head of Data Governance position. With over 9 years of experience in data strategy and engineering, I am particularly drawn to Moniepoint's mission of powering financial happiness through a robust data-driven operating system. My background in building 'Hub and Spoke' governance models and my technical proficiency in SQL and Python align perfectly with your need for a leader who can bridge the gap between business policy and automated engineering workflows.

In my previous roles, I have successfully implemented enterprise-wide data frameworks that balanced strict regulatory compliance (GDPR/NDPR) with the agility required by high-growth environments. I am excited by the prospect of leading your 'virtual team' of Data Stewards and establishing a Data Governance Academy to foster a culture where data is treated as a strategic asset. I am confident that my expertise in Data Mesh architectures and governance-as-code will help Moniepoint maintain its position as a premier fintech innovator.

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Описание вакансии

About Moniepoint

Everyone has a dream, and achieving that is key to their happiness. Moniepoint Inc is on a mission to provide financial happiness for people of the world by powering the dreams of businesses, their employees and customers. Since 2015, we have grown to 1500 employees and process over $100 billion annually for 1.8 million merchants through our all-in-one digital financial services platform. Moniepoint Inc through its subsidiaries which include Moniepoint MFB and TeamApt ltd offers payments, banking, credit and business management tools. We currently process the majority of the POS transactions in Nigeria and are Africa’s second-fastest-growing fintech.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role

At Moniepoint, data is the lifeblood of our financial operating system. The Head of Data Governance is a senior leadership role responsible for ensuring that this lifeblood is high-quality, secure, and accessible. You will architect and champion the enterprise-wide data governance framework, transforming how 13 million+ people’s data is managed and protected.

Reporting to the Head of Enterprise Data, you aren't just a policy writer; you are a cultural catalyst. You will lead a "virtual team" of Data Stewards across the company, ensuring that while they sit within diverse units like Finance or Sales, they operate with a unified, gold-standard approach to data accountability.

About You

The Architect: You don't just see data; you see the structures that make it reliable. You enjoy building blueprints that balance strict compliance with the speed required by a fast-growing fintech.

The Influencer: You excel in a "Hub and Spoke" model. You can lead and inspire teams that don’t report to you directly, turning departmental data stewards into a cohesive community.

The Tech-Fluent Leader: You speak "Engineering" as well as you speak "Business." You understand how to automate governance so it becomes a feature of the workflow, not a bottleneck.

Ethical Guardian: You are passionate about data privacy (GDPR/NDPR) and believe that responsible data management is a competitive advantage, not just a regulatory chore.

What you will get to do:

1. Strategic Leadership & Framework Design

  • Governance Roadmap: Develop and execute a long-term strategy that aligns with Moniepoint’s mission to build the financial OS for emerging markets.
  • Policy & Standards: Author and maintain global policies (Privacy, Retention, Naming Conventions) that are clear, actionable, and "Regular Guy" friendly.
  • Operating Model: Define our domain-driven structure and clarify data ownership across the company to eliminate ambiguity.

2. Functional Leadership of the Stewardship Team

  • Orchestration: Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
  • Community Building: Create a "Data Governance Academy" to onboard, certify, and mentor stewards across the organization.
  • KPI Alignment: Set the functional goals that define what "good" looks like for data quality within each business unit.

3. Tech Stack & Automation Ownership

  • Platform Strategy: Select and manage our governance platforms (e.g., Atlan, Collibra, or Microsoft Purview), ensuring they integrate seamlessly with our data lake.
  • Metamodel Design: Configure tools to link business terms to physical technical assets, creating a transparent data lineage.
  • Governance-as-Code: Partner with Data Engineering to automate quality checks and PII masking within the CI/CD pipeline.

4. Risk, Compliance & Culture

  • Enterprise DQ Reporting: Build "Data Health Dashboards" for the Executive team to provide visibility into our data reliability.
  • Change Management: Lead the cultural shift from "data is IT’s problem" to "data is a strategic business asset."
  • Literacy Programs: Develop workshops to empower non-technical staff to read, interpret, and respect data.

Qualifications:

  • Experience: 9+ years of leadership experience in Data Governance, Data Engineering, or Data Strategy within a high-growth environment.
  • Technical Proficiency: Advanced SQL and Python skills are essential. You should be comfortable auditing a data platform directly and working with APIs for automation.
  • Framework Expertise: Deep knowledge of modern data architectures (Data Mesh, Data Vault 2.0) and how to apply governance within them.
  • Regulatory Knowledge: Intimate familiarity with NDPR, GDPR, and fintech-specific data regulations.
  • Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

What Success Looks Like

  • Initial 6 Months: A defined Data Governance roadmap is approved, and the first "Data Health Dashboard" is live for critical data elements.
  • The 1-Year Mark: Every major business unit has a certified Data Steward, and automated lineage is active for our core financial products.
  • Culture: Data Governance is no longer viewed as a "blocker" but as the foundation that allows our product teams to build faster and safer.

What we can offer you

  • Culture - We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
  • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
  • Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

  • A preliminary phone call with the recruiter
  • A technical panel interview with Department Leads
  • Technical take-home assessment
  • A behavioral and technical interview with a member of the Executive team
  • All interviews stages are Virtual
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Навыки

  • SQL
  • Python
  • Data Governance
  • Data Engineering
  • Data Mesh
  • Data Vault 2.0
  • GDPR
  • NDPR
  • Atlan
  • Collibra
  • Microsoft Purview
  • API
  • CI/CD

Возможные вопросы на собеседовании

Проверка способности кандидата внедрять управление данными в гибкую среду без замедления процессов.

Как вы планируете сбалансировать строгие требования комплаенса и скорость разработки в быстрорастущем финтехе?

Оценка опыта работы в распределенной структуре, где стюарды данных не подчиняются напрямую руководителю.

Опишите ваш опыт управления 'виртуальными командами' стюардов данных в модели Hub and Spoke. Как вы добиваетесь подотчетности?

Проверка технической экспертизы в области автоматизации управления данными.

Как бы вы реализовали концепцию 'Governance-as-Code' в нашем CI/CD конвейере для автоматического маскирования PII?

Оценка стратегического мышления и умения работать с архитектурой Data Mesh.

Какие основные вызовы вы видите при внедрении Data Governance в архитектуру Data Mesh и как вы их решали ранее?

Проверка навыков влияния на корпоративную культуру.

Как вы будете убеждать руководителей бизнес-подразделений в том, что качество данных — это их ответственность, а не проблема ИТ-отдела?

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