Senior Manager: Data Engineering | Gauteng

Responsibilities:

Data and Analytics Strategy:

• Create and execute a long-term strategy for leveraging data and analytics as a key business enabler and competitive differentiator across the business. Research tools to plan, implement, and build all business and technical aspects of different data and analytics systems and platforms.

Data Management:

• Take responsibility for developing and delivering a key element of the organisation’s data management system.

Data Architecture/Engineering:

• Translate data and analytics strategy and vision into data architecture, defining and implementing models, rules, and standards for design and governance.

Design and Conceptualisation:

• Lead a collaborative digital product/service design process by gathering input across all product/service portfolios to define a design system that is viable and scalable, and which strengthens the brand. Lead a cross-portfolio, multidisciplinary team that contributes to the evolution of the system.

Continuous Improvement:

• Lead the review of existing operations and the implementation of innovation processes across the division or function to ensure the required continuous improvement outcomes are delivered.

Leadership and Direction:

• Communicate the function’s strategy and its relationship to the organisation’s mission, vision, and values; clarify the actions needed to implement it within the area of responsibility; motivate people to commit to these and to doing extraordinary things to achieve the organisation’s business goals.

Performance Management:

• Manage and report on the performance of the function/business area; set appropriate performance objectives for direct reports and hold them accountable for achieving these; take appropriate corrective action where necessary to ensure the achievement of annual business objectives.

Project Management:

• Manage a portfolio of major projects in line with overall project management strategy.

Stakeholder Engagement:

• Identify and manage stakeholders up to top management level, finding out their needs/issues/concerns and reacting to these by leading and coordinating the development of stakeholder engagement plans to support the communication of business information and decisions.

Behavioral Competencies:

Manages Complexity:

• Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Ensures the organization has reliable ways to gather needed information.

Tech Savvy:

• Anticipates and adopts innovations in business-building digital and technology applications. Stays apprised of technology trends and of how they can make a substantial difference.

Cultivates Innovation:

• Creates new and better ways for the organization to be successful. Fosters a climate that supports and rewards creativity and innovation; removes obstacles to creativity.

Ensures Accountability:

• Holds self and others accountable to meet commitments. Emphasizes accountability, measures organizational performance against goals, and addresses poor team performance.

Drives Results:

• Consistently achieves results, even under tough circumstances. Eliminates barriers to organizational performance.

Communicates Effectively:

• Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Builds Effective Teams:

• Builds strong-identity teams that apply their diverse skills and perspectives to achieve common goals.

Collaborates:

• Builds partnerships and works collaboratively with others to meet shared objectives.

Decision Quality:

• Makes good and timely decisions that keep the organization moving forward.

Situational Adaptability:

• Adapts approach and demeanor in real time to match the shifting demands of different situations.

Being Resilient:

• Rebounds from setbacks and adversity when facing difficult situations.

Skills:

System Management:

• Operates as a recognized expert to manage projects and monitor applications using enterprise systems and tools.

Computer skills:

• Acts as the organisation’s authority and established expert on understanding and using tools in the domain of data engineering.
• Python, Pyspark, Spark, Databricks, SQL, SAS

IT Implementation and integration:

• Applies expertise to act as the organisational authority on implementing, configuring, and optimizing IT systems and services.

Data Management:

• Acts as the organisational authority and established expert on acquiring, organizing, protecting, and processing data to fulfill business objectives.

Policy and procedures:

• Uses comprehensive knowledge and skills to work independently while providing guidance and training to others on developing, monitoring, interpreting, and understanding policies and procedures.

Data mining:

• Works at an advanced level to extract patterns from large amounts of data.

Education:

• Grade 12/SAQA Accredited Equivalent (Essential)
• 3-year degree in Information Technology/Sciences/Informatics/Applied Mathematics/Statistics/Data Mining (Essential)
• Master’s Degree in Information Technology/Sciences/Informatics/Applied Mathematics/Statistics/Data Mining (Advantageous)

Experience:

• 5 or more years’ experience of leading teams (Essential)