Programme Manager

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Role Purpose

The Programme Manager will lead the end-to-end setup mobilisation and execution of the enterprise-wide Client Data Quality & Data Governance Programme.

They will orchestrate the analysis of client data quality issues across the entire lifecycle define apply and mature the Data Quality Root Cause Assessment (RCA) Framework define and sequence workstreams coordinate multi-team delivery and drive the organisation toward sustainable long-term client data quality improvements.

This role serves as the central integrator across people process technology governance and architecture domains.

Requirements

Core Responsibilities

1. Programme Mobilisation & Governance Setup

Establish the full programme construct including:

Programme Working Group
Programme Steering Committee
Stakeholder map (cross-platform cross-process cross-team)

Develop programme governance artefacts:

Integrated programme plan & critical path
RAID logs
Resource model & allocation map
Reporting templates and programme dashboards

Secure alignment on scope objectives and operating rhythms.

2. Lead the End-to-End Diagnostic & Root Cause Assessment

Oversee the application of the Data Quality Root Cause Assessment (DQ RCA) Framework across:

Client onboarding platforms
Client maintenance platforms
Operating model & processes
System-to-system integrations
Target platforms and architectural constraints
Data governance dimensions (lineage stewardship standards KPIs)

Ensure RCA analysis captures:

People process technology and governance issues
Causeeffect relationships
Both issues and stakeholder requirements

Consolidate findings into a unified diagnostic and prioritisation matrix.

3. Define the Programme Roadmap & Workstreams

Build a comprehensive roadmap covering 1218 months.

Define discrete workstreams for:

Process redesign
Platform remediation & enhancements
Data integration fixes
Operating model & responsibility shifts
Governance enablement
Architectural transition states

Sequence initiatives based on:

Dependencies
Organisational capacity
Critical path
Business risk & regulatory imperatives

4. Coordinate Distributed Delivery Across All Teams

Work closely with:

CDM Team

Technology platform teams (CDX D365 PCCA Everest iMeta etc.)
PLC operational teams
Data Governance
Architects

Manage and align cross-team backlogs ensuring all client-data-related changes are delivered consistently.

Facilitate solution design workshops and ensure joint ownership of fixes across business and technology.

5. Architecture Alignment & Transition State Planning

Partner with architects to map:

AS-IS architecture
TO-BE architecture
All transitional states

Ensure alignment between RCA outputs and required architecture changes.

Oversee integration remediation data flow redesign and platform consolidation considerations.

6. Stakeholder Engagement & Communication

Own communication strategy across senior executives delivery teams data governance and operations.

Establish routines:

Steering packs
Working Group sessions
Issue escalation flows
Cross-platform alignment forums

Build shared understanding of client data challenges across all stakeholders.

7. Benefits Realisation & Sustainability

Define measurable data quality KPIs and target improvements.

Ensure solutions are sustainable and embedded in:

Operating model changes
Governance structures
Training and stewardship models
Platform standards and controls

Build a long-term mechanism for continuous DQ monitoring and feedback loops

Required Skills & Experience

Programme Leadership

Proven experience delivering large-scale multi-year enterprise programmes (data governance regulatory or architecture-heavy preferable).
Demonstrated ability to operate in complex matrix environments with distributed delivery responsibility.

Client Data & Data Governance Expertise

Deep knowledge of:
Data lineage ownership stewardship
Data standards & quality controls
Root cause assessment methodologies
Master data & reference data management

Understanding of regulatory obligations (e.g. GDPR over-retention).

Technical & Architectural Acumen

Familiarity with system integration data flows and platform architecture.
Ability to translate RCA findings into architectural and technical change.

Process & Operating Model Design

Experience modernising or redesigning business processes and roles.
Comfortable defining new accountability models and embedding them.

Stakeholder Management

Strong senior-level engagement experience (Exec sponsors COO CIO Heads of Ops/Tech).
Skilled facilitator capable of driving consensus.

Change & Communication

Skilled in aligning diverse teams around a common vision.
Experienced in developing structured programme communication strategies.

Key Deliverables

Programme Setup

Programme charter scope & objectives
Stakeholder map
Governance model (SteerCo Working Group cadence)
Integrated programme plan (1824 months)

Diagnostic Phase

Comprehensive RCA assessment (across all dimensions)
Prioritised root cause library
Integrated issue requirement catalogue
End-to-end AS-IS process and system maps

Design & Roadmap

TO-BE architecture & operating model
Transition state definitions
Sequenced workstreams initiatives and critical path
Resource & capacity model

Execution

Monthly SteerCo packs
Weekly Working Group updates
RAID management
Progress reporting against KPIs
Benefits realisation plan

Success Measures

Clear organisation-wide understanding of client data lifecycle issues.
RCA completed comprehensively with validated root causes across all platforms.
A fully mobilised and functioning delivery construct (SteerCo WG distributed teams).
A sequenced programme delivering measurable reduction in data quality issues.
Embedded sustainable solutions across people process technology and governance.

Required Skills:

Programme Manager Data Quality Data Governance Root Cause Analysis Client Data Stakeholder Management Programme Governance

Role Purpose The Programme Manager will lead the end-to-end setup mobilisation and execution of the enterprise-wide Client Data Quality & Data Governance Programme.They will orchestrate the analysis of client data quality issues across the entire lifecycle define apply and mature the Data Quality Ro...