The Kenya Revenue Authority (KRA) was established by an Act of Parliament, Chapter 469 of the laws of Kenya , which became effective on 1st July 1995 . The Authority is charged with the responsibility of collecting revenue on behalf of the Government of Kenya. A Board of Directors, consisting of both public and private sector experts, makes policy decisions to be implemented by KRA Management. The Chairman of the Board is appointed by the President of the Republic of Kenya . The Chief Executive of the Authority is the Commissioner General who is appointed by the Minister for Finance. PURPOSE OF KRA Assessment , Collection, Administration and Enforcement of laws relating to revenue.
Job Purpose
The Assistant Manager Enterprise Data & Analytics Architecture is responsible for defining, maintaining and evolving the emerging data architecture that enables the digital vision and business objectives, maximizing the value of data insights and data driven decision making.
The role is also responsible for:
- Identifying, analyzing, and directing the execution of change towards the data architecture vision.
- Defining the KRA common information model and maintaining the data dictionary for ICT applications.
- Definition of data strategy, and roadmaps to support attainment of a single view of the customer.
- Definition of frameworks, standards and guidelines aligned with data protection legal and regulatory requirements and internal KRA policies.
- Cascade, train, monitor and report on data frameworks and models across the enterprise.
Key Responsibilities
- Define and manage data architecture models and roadmap in alignment with the Digital Architecture blueprint.
- Oversee and lead the design, modelling, and deployment of data information models, standards, and patterns.
- Scout new data technologies and vendors to enable innovation and identify technical enablers
- Manage data platforms architecture and establish the capability to monitor new data technology developments and trends in the industry
- Provide thought leadership on foundational data architecture best practices and disruptive technology trajectory and implications
Requirements
Academic qualifications
- Bachelor’s degree in Computer Science, Information Systems, Information Technology or related fields from a recognized university.
Professional Qualifications / Membership to professional bodies
- TOGAF
- COBIT
- ITIL
- PRINCE 2 or PMP
- ISACA and other ICT Professional Bodies
Work experience required
- Four (4) or more years of business experience in relevant field and in strategic and operations planning and/or business analysis
- Extensive experience in IT strategic planning, organization design and development
- One (1) year experience in leading large architecture teams in an agile context, operating and influencing effectively across the organization and within complex contexts
- Experience in business capability modelling and technical and solution architecture development.
Functional and Technical Skills
- Definition of long-term data and digital insights strategy and roadmap
- Data Architecture governance in agile software delivery
- Definition of common information model
- Technology Innovation: scouting, screening and evaluation
- Cost of ownership of data and information life cycle management
- Data models for cloud native architectures
- Web-scale cloud-native architectures including IaaS, PaaS and SaaS
- Design of infrastructure strategy and roadmap
- Design of web-scale architectures and systems of innovation and engagement
- DevOps practices and automation tools
- Artificial intelligence, Machine Learning and Big data technologies and architectures
Behaviours and Competencies
- Trusted and respected as a thought leader and change agent who can influence and persuade business and IT leaders.
- Organizationally savvy, and understanding of the political climate of the enterprise and how to navigate obstacles and politics.
- Comfortable, experienced and accomplished at working with business executives, and able to push back in a professional and diplomatic way.
- Excellent analytical, technical, and problem-solving skills, with high-levels of creativity and a practical approach that is principle-driven.
- Ability to balance the long-term (“big picture”) and short-term implications of individual decisions and effective at driving short term actions that are consistent with long-term goals.
- Excellent written and verbal communications skills, able to distil complex technical concepts into simple terms, with strong persuasion skills to gain support for and establish principles, standards, and change.
- Excellent relationship building, teamwork, and collaboration skills that enables the provision of effective support and guidance across programs.
- Ability to quickly comprehend the functions and capabilities of new technologies, with natural intellectual curiosity and integrity.
- Vendor and technology neutral –driven primarily by long-term business outcomes rather than personal preferences.
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