Data Delivery Manager at Old Mutual

Job Description

• Lead the design, implementation, and improvement of data insight capabilities, with a strong emphasis on integrating external data sources into internal systems.
• Champion initiatives that improve external data quality, automate analytics processes, and drive fact-based decision-making.
• Work cross-functionally to manage technical and strategic relationships with data partners, while evolving business intelligence capabilities to enhance operational efficiency and strategic growth.

Data Integration & External Data Management

• Lead efforts to identify, acquire, and integrate data from multiple external sources into internal data ecosystems.
• Define and implement data ingestion pipelines that ensure timely, scalable, and secure incorporation of third-party data into local systems.
• Collaborate with external partners, vendors, and data providers to formalize data sharing agreements, integration protocols, and delivery mechanisms.
• Establish robust data quality frameworks for external data sources—driving cleansing, enrichment, validation, and reconciliation processes.
• Design and implement monitoring mechanisms to detect anomalies or quality issues in inbound external data.
• Develop and execute strategies for managing external data risks and ensuring regulatory compliance.

Data Strategy, Insights & Analytics

• Build comprehensive tools and strategies that allow raw data to be transformed into business insights.
• Support the creation of self-service analytics, reports, and dashboards that incorporate both sourced and internal datasets.
• Leverage statistical techniques and machine learning to deliver actionable insights that solve complex strategic and operational challenges.
• Manage large, complex datasets and automate standard reporting for operations, regulatory requirements, and executive decision-making.
• Establish frameworks to enhance data usability and enable self-service analytics across business units.

Data Engineering & Technical Leadership

• Architect and maintain scalable data pipelines and cloud-based data integration solutions using modern data engineering tools (e.g., Python, SQL, Airflow, Kafka).
• Collaborate with IT and data engineering teams to design optimal data models, storage, and retrieval strategies.
• Ensure adherence to data governance, metadata management, and data cataloging standards to improve transparency and access.
• Ensure data pipelines are aligned with reporting requirements and that reflect accurate and timely insights.

Stakeholder Engagement & Relationship Management

• Build and maintain productive relationships with key internal stakeholders to ensure data priorities align with business needs.
• Manage vendor and third-party relationships to negotiate data access, quality improvement plans, and technical enablement support.
• Develop and lead initiatives to continuously enhance collaboration between analytics, business, and IT teams.

Continuous Improvement & Service Delivery

• Monitor, evaluate, and optimize the performance of data workflows, proactively identifying opportunities to improve efficiency and scalability.
• Provide expert advice on best practices for external data sourcing, data integration, and analytics.
• Champion data-driven culture across the business through knowledge sharing, training, and capability uplift.

Experience, Knowledge & Skills Required

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Engineering, or related discipline.
• 5–8 years’ experience in data analytics, business intelligence, or data engineering roles, ideally with a focus on integrating third-party data.
• Technical expertise in tools such as Python, R, SQL, and cloud-based ETL tools (e.g. AWS Databricks, AWS Glue, etc.).
• Experience with data visualization platforms (e.g., Power BI, Tableau, Looker, Qlikview).
• Familiarity with data quality frameworks, governance principles, and master data management.
• Proven experience managing relationships with external data providers or vendors.
• Short-Term Insurance industry knowledge is an advantage.
• Excellent communication, stakeholder management, and problem-solving skills.

Skills

• Business Requirements Analysis
• Confidentiality
• Current State Assessment
• Database Administration
• Database Queries
• Database Reporting
• Data Classification
• Data Compilation
• Data Compression
• Data Controls
• Data Encoding
• Data Modeling
• Executing Plans
• Gateway Servers
• IT Architecture

Competencies

• Action Oriented
• Builds Effective Teams
• Communicates Effectively
• Cultivates Innovation
• Ensures Accountability
• Manages Complexity
• Optimizes Work Processes
• Persuades

Education

• Bachelors Degree (B)

Closing Date

• 24 July 2025