Job title : Data Delivery Excellence Senior Manager
Job Location : Gauteng, Johannesburg
Deadline : January 04, 2025
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Qualifications: Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field. Certifications: Relevant certifications in Data Governance (DAMA), Cloud Platforms (Azure/AWS), DevOps, or Agile Delivery.
Experience: 8+ years of experience in data architecture, governance, and delivery roles. Proven experience in implementing and managing data governance frameworks, particularly DAMA. Extensive experience in data modeling (Kimball for structured, vectorized for unstructured, and IoT streaming data). Hands-on experience with cloud platforms (Azure preferred, AWS considered). Familiarity with agile methodologies, leading practices in data delivery, and DevOps integration. Experience in business development and sales within the data and analytics domain. Experience in delivery management, overseeing data projects from inception to completion.
Role related Attributes Industry Experience: Experience in complex data environments such as financial services, telecommunications, or mining. Progression in Roles: Demonstrated career progression with increasing responsibilities. Hands-on Developer Background: Preference for candidates who started in hands-on roles such as data engineering, BI development, or business analysis. Soft Skills: Strong communication, problem-solving, adaptability, and team collaboration skills.
Skills sets required: Business Development & Sales: Identify and develop new business opportunities within the data and analytics domain. Engage with potential clients to understand their needs and propose tailored data solutions. Collaborate with the sales team to drive revenue growth and expand the company's market presence.
Delivery Management: Oversee the delivery of data projects, ensuring they are completed on time, within scope, and on budget. Manage project teams and coordinate with cross-functional teams to ensure successful project outcomes. Implement best practices in delivery management to optimize efficiency and client satisfaction.
Experience in Data Architecture: Lead the design and development of scalable data architectures, employing industry best practices. Hands-on experience with data modeling, including Kimball methodologies for structured data and vectorized models for unstructured and IoT streaming data. Architect solutions on cloud platforms, with a preference for Azure, but AWS experience is also valuable.
Experience in Data Governance & Compliance: Implement and maintain data governance frameworks in alignment with DAMA principles. Ensure data compliance with relevant regulations and standards. Develop and manage data quality metrics, policies, and procedures.
Experience in DevOps & Agile Integration: Integrate DevOps practices into the data architecture and delivery process to ensure continuous integration, delivery, and deployment of data solutions. Drive agile delivery practices within the Data Delivery Excellence team, ensuring iterative and incremental development of data solutions. Implement monitoring, logging, and alerting solutions to ensure the reliability and performance of data systems.
Technical Expertise: Proficiency in SQL and Python for data manipulation, transformation, and automation. Strong understanding of cloud-native data services, particularly within Azure and AWS ecosystems. Ability to integrate data from various sources, including IoT and unstructured data streams. Experience in designing and developing APIs for data integration and management.
Leadership & Collaboration: Act as a key partner to the Data Lead, taking ownership of major projects and leading teams to successful delivery. Foster a collaborative and innovative team environment, promoting best practices in data management. Mentor and develop junior team members, ensuring the team's growth and continuous improvement.
Industry Expertise: Experience in complex data environments such as financial services, telecommunications, or mining. Familiarity with industry-specific data challenges and solutions.
Innovation & Continuous Improvement: Stay current with industry trends and emerging technologies in data architecture, governance, and analytics. Champion continuous improvement initiatives to enhance data capabilities across the organization.
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