BI Data Management Lead at Santam Insurance

PURPOSE OF THE JOB

• The Purpose of the job is to provide data management services with specific focus on data sharing, data quality, reference data and metadata management and tooling, for the Santam Group.

CAREER OPPORTUNITY

• As a Data Management Lead your primary responsibility will be to establish, implement, and maintain effective data standard practices for data sharing, metadata management, reference data management and data quality. You will work closely with various departments to support with compliance and with data management standards across the organisation.  
• You will also be responsible for the management of a team of ±5 for the establishment and management of the central Santam Data Management capability in B.I.T.S. environment The role will be based in Bellville, Cape Town.

JOB DESCRIPTION

• The purpose of the role includes the following:

• Establish and Optimise the Data Management capability within the central Digital and Data Team.
• Ensure technical delivery and operation of data platforms with specific focus on appropriateness, technical quality, maintainability, performance and availability of the data management tools.
• Help the Santam Group to optimise the use of data within the bounds of policy and regulation to make decisions and take actions that maximise the benefit of data usage.
• Manage a team of data analysts, data quality specialist and architect.

PRIMARY RESPONSIBILITIES

Primary responsibilities: 

• Data Management Lead you will provide the following key services: 

Data Sharing & Processing:

• Champion and ensure that IT, data owners, data stewards, legal counsel, information security understand and implements the data sharing standard and process.
• Facilitate and conduct data sharing workshops with end users and relevant stakeholders to provide support and actual sharing of data across various internal and external stakeholders.
• Develop a comprehensive legal and secure data sharing strategy focused on the maturing of data management across the organisation.

Metadata Management:

• Create and manage a centralised Data Asset Register, Business Glossary, and metadata repository where all relevant metadata is documented, stored and easily accessible to users.
• Facilitate and conduct workshops with end users and stakeholders to provide support and guidance in the development of solutions and processes for the capturing of metadata for different business use cases.
• Ensure that metadata management is closely integrated with data governance and data quality initiatives. This includes defining how metadata supports data governance policies and how metadata contributes to data quality improvement efforts.
• Develop a comprehensive metadata strategy focused on the maturing of metadata management across the organisation.
• Design a metadata taxonomy that defines the structure, classification, and organisation of metadata elements such as business terms (business glossary) and critical data elements.
• Establish and manage Standard Operating Procedures for onboarding business glossaries followed by curation, cleansing and standardisation of business terms.
• Design reports that provide insights into metadata usage as well as specific stakeholder requirements which will support the business in understanding the metadata landscape.

Data Quality:

• Work with application teams, data quality specialists, data stewards, data analysts and key data owners to implement data quality rules to ensure data quality controls are enforced for critical data elements. 
• Develop a data quality strategy focused on the enablement of data quality across the organisation. 
• Promote a culture of data quality by creating awareness, doing demos, supporting the business in identifying critical data elements and managing Proof of Concepts.
• Ensure that data quality initiatives are closely integrated with data governance processes and policies.
• Collaborate with business stakeholders to understand data requirements, challenges, and opportunities for data quality enhancement.

Reference Data:

• Establish a roadmap for the implementation of master reference data.
• Develop processes for creating, validating, and maintaining master reference data, including identifying ownership and recording metadata.
• Establish integration processes that allow applications and systems to access and utilise master reference data from a centralised repository.
• Define and implement mechanisms for ongoing improvement of master reference data management processes. Regularly assess the strategies to address emerging challenges and changing business requirements.

. QUALIFICATIONS, KNOWLEDGE AND EXPERIENCE

• Bachelor’s Degree - applicable major preferred (Management Information Systems, Computer Science, Business Management, Project Management, Process Engineering, Statistics/Applied Maths)
• DAMA certified data management professional (CDMP) or similar data management certification 
• Minimum 5 years experience of people management  
• 5 years strong Data Management experience 
• Similar or Informatica Suite (EBC, EBX, IDQ, Axon) experience will be advantageous

KNOWLEDGE

• Working knowledge of Data Management 
• Working knowledge of Agile software delivery methods
• Agile delivery methods, including Scrum at Scale
• Excellent decision making & organising skills

SKILLS

• Strategic thinker who can also work at detail level
• Ability to understand and interpret business strategy from definition into execution; Ability to think holistically as well as at a detailed level
• Strong analytical, interpretative and problem-solving skills: creative analytical thinking, systems thinking, planning, challenging assumptions and orthodoxies, turning concepts and big picture into detailed actions and targets, ability to look across the business and see inconsistencies in data or strategy
• Behavioral characteristics: ethics, listening, trustworthiness, make things happen, energetic, proactive and positive thinking
• Interaction skills: facilitation; mentoring; leadership and influencing; negotiation; teamwork; build relationships; Building networks ; networks; networks; credible consulting skills
• Outstanding influencing & negotiating skills, influence thinking at an executive & senior management level
• Motivate others and mentoring others
• Excellent decision making & organizing skills
• Competent in problem solving and troubleshooting

COMPETENCIES

• Innovative problem solving
• Knowledge seeking / learning orientation
• Conceptual thinker
• Independent decision-making skills
• Ability to work effectively with both business and technical stakeholders
• Ability to meet complex demands
• Ability to prioritise and manage own workload
• Ability to understand and articulate the technical and business implications of data quality problems
• Ability to take initiative, do research, document results, and propose innovative solutions
• Attention to detail.
• Analytical skills.
• Client focus
• Cultivates Innovation
• Drives Results
• Collaborates
• Flexibility and adaptability
• Analytical and systems thinker
• Project Oversight