Software Jobs in Johannesburg, South Africa (Now Hiring) — 245 open — Page 4

Requisition Details & Talent Acquisition Contact

Requisition nr: 147022
Talent Acquisition Specialist: Tshego Semenya
Location: 135 Rivonia Road, Sandown
Closing date: 7 August 2026

Cluster

Persoonal and Provate Banking 

Career Stream

Leadership Pipeline

Position

Senior Manager: IDM Infolytics

Why join the team!

This is an exciting opportunity to shape the future of analytics within a rapidly evolving Campaign Intelligence environment. As a senior leader, you will play a pivotal role in strengthening analytical capability, improving delivery excellence, and driving the adoption of data-driven decision-making across the business. You'll have the opportunity to influence how analytics is delivered, establish technical standards, develop high-performing teams, and ensure that analytical outputs consistently translate into meaningful business outcomes.

Working within an AI-enabled decisioning environment, you will operate at the intersection of analytics, business strategy, and innovation, helping to unlock greater value through customer insights, campaign optimisation, personalisation, and advanced decisioning capabilities. This role offers significant exposure to senior stakeholders and the opportunity to influence strategic decisions through disciplined analytical delivery and trusted insight.

The ideal candidate is a technically credible analytics leader who is passionate about developing people, fostering technical excellence, and building scalable delivery practices. Success in this role will be measured through stronger analytical quality, enhanced team capability, improved delivery predictability, effective governance, greater stakeholder confidence, and increased business adoption of analytical insights. If you enjoy leading talented analytics professionals, solving complex business challenges, and creating lasting impact through data, this role offers a unique opportunity to make a meaningful contribution.

Job Purpose

To provide technical leadership, analytical quality assurance, delivery governance, and people leadership for the analytics capability within Campaign Intelligence.

The role is responsible for ensuring that business priorities are translated into high-quality analytical execution through strong technical standards, effective workload management, robust governance practices, and continuous capability development. The successful candidate will lead a team of analytics and BI professionals responsible for delivering decisioning analytics, operational analytics, reporting, measurement, and optimisation insights that support business growth and customer engagement.

Acting as the link between business strategy and analytical execution, this role will ensure that analytical outputs are delivered with consistency, accuracy, reliability, and business relevance while fostering a culture of collaboration, accountability, innovation, and continuous improvement.

Job Responsibilities

Analytics Delivery Leadership

• Own end-to-end analytical delivery across the analyst team.
• Translate Campaign Intelligence business priorities into analytical work plans, outputs, and delivery schedules.
• Manage delivery across multiple concurrent initiatives and stakeholder demands.
• Govern analytical backlog, prioritisation, delivery cadence, and capacity allocation.
• Establish clear operating rhythms, delivery routines, and escalation paths.

Technical Leadership and Standards

• Define and maintain analytical methodologies, technical standards, and quality assurance principles.
• Establish standards for analytical code, data extracts, reporting logic, dashboards, and documentation.
• Lead technical reviews for complex analysis, reporting changes, and decisioning analytics outputs.
• Provide technical guidance on data profiling, data modelling, analysis design, and measurement approaches.
• Drive continuous improvement of analytical processes, tools, and ways of working.

Capacity and Resource Management

• Manage team workload allocation across strategic and operational analytics demand.
• Forecast capacity requirements and highlight resourcing constraints early.
• Resolve prioritisation conflicts in partnership with the Head: Campaign Intelligence.
• Protect strategic decisioning analytics capacity from being routinely absorbed by operational reporting demand.
• Ensure effective utilisation of analyst capability across the team.

Quality Assurance, Governance and Risk

• Own the analytical quality assurance process before outputs are shared with business stakeholders.
• Review methodologies, assumptions, calculations, and data logic for key analytics deliverables.
• Ensure adherence to enterprise data policies, governance standards, risk controls, and security requirements.
• Maintain controls around data quality, reporting accuracy, metric definitions, and dashboard changes.
• Identify analytical, reporting, and data risks and ensure appropriate remediation plans are in place.

People Leadership and Capability Development

• Lead, mentor, and develop a team of analysts and BI professionals.
• Coach analysts in technical methods, analytical problem-solving, quality standards, and stakeholder engagement.
• Establish clear performance objectives, development plans, and capability-building priorities.
• Build analytical career paths and deepen technical capability across SQL, data investigation, BI, reporting, and measurement.
• Create a culture of collaboration, delivery discipline, knowledge sharing, and continuous learning.

Analytics Partnership and Stakeholder Engagement

• Partner with Campaign Intelligence leadership to translate decisioning objectives into analytical requirements and work packages.
• Collaborate with data engineering, architecture, data governance, platform, and business teams to resolve analytical dependencies.
• Support opportunity sizing, decisioning optimisation, and measurement discussions through strong analytical delivery.
• Communicate technical considerations and delivery risks clearly to technical and non-technical stakeholders.
• Enable high-quality analyst contribution to executive insights, decision support, and Campaign Intelligence performance measurement.

Essential Qualifications - NQF Level

Preferred Qualification

Essential Qualification

• Bachelor’s Degree, Advanced Diploma or NQF Level 7 qualification in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Engineering, Information Management or a related quantitative discipline.

Advantageous

• Postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science, Information Management, Financial Analytics or a related field; plus leadership or management qualification.

Minimum Experience Level

Essential

• 8-12 years' experience within analytics, business intelligence, reporting, data management, or analytical delivery environments.
• Proven experience delivering complex analytical solutions that support strategic business objectives.
• Demonstrated experience engaging, influencing, and partnering with senior business stakeholders.
• Experience implementing analytical standards, quality assurance practices, and governance controls.
• Strong exposure to translating business requirements into actionable analytical solutions and measurable outcomes.

Leadership Experience

• 3-5 years' experience leading analysts, BI professionals, data specialists, or analytics teams.
• Experience managing capacity planning, workload allocation, performance management, coaching, and capability development.
• Demonstrated success building, mentoring, and developing high-performing analytical teams.
• Experience managing delivery governance across multiple priorities, initiatives, and stakeholder groups.
  Preferred Industry Experience

Advatageous experience

• Banking or financial services; customer analytics; campaign analytics; decisioning analytics; personalisation, AI-enabled analytics or next-best-action environments.

Technical / Professional Knowledge

• Advanced SQL / database querying Statistical analysis and measurement design
• Power BI or relevant BI tools Dashboard design and reporting governance
• DAX, tabular, MDX or equivalent BI logic
• Data governance, metadata and controls
• Data profiling and data quality validation Python / SAS / R working knowledge advantageous
• Data modelling and data warehousing concepts Agile delivery and backlog management

Disclaimer

Preference will be given to candidates from the underrepresented groups

Please contact the Nedbank Recruiting Team at +27 860 555 566