Head Enterprise Data Office Employment Opportunity – Stanbic Bank

Head Enterprise Data Office Employment Opportunity – Stanbic Bank

Job Title:   Head Enterprise Data Office

Organisation: Stanbic Bank

Duty Station: Kampala, Uganda

About US:

Stanbic Bank Uganda Limited is a subsidiary of Stanbic Africa Holdings Limited which is in turn owned by Standard Bank Group Limited (“the Group”), Africa’s leading banking and financial services group. The Standard Bank Group is the leading banking group focused on emerging markets. It is the largest African banking group ranked by assets and earnings. Stanbic Bank Uganda Limited is the largest bank in Uganda by assets and market capitalization. It offers a full range of banking services through two business units; Personal and Business Banking (PBB), and Corporate and Investment Banking (CIB).

Job Summary: The Head Enterprise Data Office mainly designs, develops and implements an enterprise wide Data Strategy to deliver value encompassing capability modelling, influencing data monetisation, investments and data culture. Convene Enterprise Data stereco, review industry trends and monitor relevant policy and regulation, Uphold the statutory and regulatory requirements

Key Duties and Responsibilities:

Drive the benchmark for Enterprise Data via best practices, policies & regulations

  • Act as point of interaction for Enterprise-wide data related issues to Exco and their mandated committees.
  • Convene Enterprise Data Stereco and help ensure clarity of mandates of existing data management and analytics forums in the group.
  • Keeping abreast of trends and development in data management and relevant policy and legislation.
  • Actively promote and propagate existing best practice within organisation to consistent enterprise wide standards.
  • Develop capability model for Enterprise Data, review current capability levels of Business Units and plans to achieve desired state.
  • Facilitate promotion and propagation of best practice with practitioners and knowledge sharing guilds through the division.
  • Maintain any Enterprise-wide key data standards documents, obtaining approval for changes via Enterprise Data Council and in alignment with other Group stakeholders (e.g. privacy office, data security)

Provide the enterprise wide with the standard Data requirements in order to facilitate strategic business decisions:

  • Create structures to support development of data capability at a localised level within the context of Business Unit priorities and the Enterprise strategy.
  • Work with Divisional Executives to develop plans that exploit Enterprise data assist to improve performance of their divisions.
  • Assist in training and development of the analyst and data science community via the guild structure.
  • Housing in the Enterprise Data Office any data or analytics function that Enterprise Data Council agrees is best provided to the organisation at an Enterprise level.
  • Act as a co-ordination & review body for Enterprise Data
  • Surface and highlight the Enterprise initiatives that are monetising data (active and proposed), the cost of data investment to most cost-effectively achieve objectives
  • Measures progress against data related audit issues and issues raised by external stakeholders (including regulators and large commercial clients).
  • Facilitate a review from Divisional Executives of the degree to which Enterprise Data Office has facilitated them to achieve their data monetisation objectives and data governance obligations
  • Facilitate a review from Divisional Executives of the degree to which Enterprise Data Office has facilitated them to achieve their data monetisation objectives and data governance obligations
  • Facilitate the building of a Data skill pipeline for the enterprise
  • Facilitate a review from Divisional Executives of the degree to which Enterprise Data Office has facilitated them to achieve their data monetisation objectives and data governance obligations
  • Facilitate a review from Divisional Executives of the degree to which Enterprise Data Office has facilitated them to achieve their data monetisation objectives and data governance obligations

Risk and compliance management

  • Review the overall risk and compliance pertaining to digital banking. Highlight key and common risks and initiate innovative risk mitigation measures.
  • Review product and channel control requirements at least annually to determine if they are still adequate to mitigate risk to the desired level.
  • Work with assurance teams and internal audit to scope reviews and audits. Own and agree remedial actions for audit findings.
  • Ensure that the digital channels teams understand compliance requirements. Call for support from the Compliance Officer when required.
  • Initiate and drive business continuity plans; and ensure that they are aligned across the business area. Monitor progress on corrective actions after BCM tests.
  • Participate in the development of operational risk tolerance thresholds. Actively work to minimise the economic capital allocations for operational risk.

Manage a team of Data specialists

  • Facilitate a review from Divisional Executives of the degree to which Enterprise Data Office has facilitated them to achieve their data monetisation objectives and data governance obligations
  • Develop a high performing team to ensure that they are seen as industry specialists.
  • Motivate team members as they provide industry standards but to see the realisation of these they have to work through others.

Qualifications, Skills and Experience:

  • The ideal candidate for the Stanbic Bank Head Enterprise Data Office job must hold a Masters Degree from a recognized University. Field of study Finance & Accounting
  • Actuarial Science or CFA preferred
  • 7-10 years experience working in a Financial Services organisation with data to extract commercial value
  • 5-7 years experience in leadership
  • Experience leading actuarial or quantitative analysis function; Managing an income statement; Implementing data driven strategies via decision engines or big data applications into customer flows to give real-time automated decisions.
  • Experience of operating within a multi-national matrix organisation
  • Experience in Analysis and design
  • Experience in Information and Operational Risk Management
  • Experience in Risk Management and or Information Technology
  • Financial Management
  • Benefits Management
  • Ability to identify new and emerging hardware, software and communication technologies, products, methods and techniques and the assessment of their relevance and potential value to the organization
  • Effective Business Communication
  • Stakeholder Management

How to Apply:

All candidates are strongly encouraged to apply online at the link below.

Click Here

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