Manager: Forensic Technology, Midrand

At Cell C, we are not just a telecommunications company; we are a people‑centric and consumer‑focused organization committed to delivering exceptional experiences to our customers. In line with our dedication to customer‑centricity, we are seeking a seasoned professional as a

Manager: Forensic Technology , to join a dynamic team of

#Unstoppables .

Purpose of Role This role leads and modernises Cell C’s forensic‑technology capabilities by driving AI‑enabled cybercrime analytics, forensic data science, telecom‑fraud risk modelling, advanced data analytics and digital‑evidence excellence. It partners with internal stakeholders, regulators, law enforcement agencies, and external forensic specialists to safeguard the organisation’s digital ecosystem and data assets. It focuses on identification, mining, analysis, correlation and prediction of fraud and cybercrime patterns through data‑driven intelligence, while maintaining industry‑aligned forensic practices, systems and governance.

This role enables proactive fraud‑risk management, enhanced cyber‑resilience, and the continuous upliftment of Cell C’s forensic‑technology capabilities. It requires high levels of independent technical judgement, advanced analytical reasoning, and the ability to architect and integrate enterprise‑wide forensic‑analytics systems. A key component of the role is strengthening proactive fraud‑risk management through data‑driven insights, behavioural analytics, and intelligence‑led investigation support to both the investigations unit as well as LEA Support Services.

Key Responsibilities

Develop and maintain AI‑driven detection and monitoring models identifying fraud, cybercrime indicators and behavioural anomalies

Design analytics‑based early‑warning systems leveraging telecom, network, identity, and access‑control data sources

Conduct trend analysis, correlation modelling, and anomaly detection to surface emerging cyber‑risk patterns

Build predictive models to forecast cybercrime exposure, threat emergence and systemic vulnerabilities

Digital‑Evidence Data Governance&Case Intelligence Support

Manage digital‑evidence metadata repositories ensuring completeness, usability and compliance with governance standards

Oversee data lineage, integrity, classification and readiness for analytical exploitation

Integrate logs, telemetry, metadata, structured and unstructured datasets into analytics frameworks

Automate evidence‑correlation, pattern recognition and metadata‑enrichment processes

Forensic Database Development, Data Science&Analytics Systems Management

Design and govern forensic analytics repositories and data lakes, including FMS, CFAS, LEA, GIS, EIR and supporting environments

Build scalable data pipelines integrating telecom, billing, CRM, security and customer datasets for analytics

Develop SQL models, dashboards, automation scripts and real‑time anomaly‑detection engines

Ensure data integrity, accuracy, security and governance across all forensic data ecosystems

Manage analytical and forensic‑technology projects, including AI model deployment, data‑engineering improvements and automation initiatives

Manage complex delivery dependencies, risks, stakeholder communication and vendor relationships.

Ensure alignment between analytics initiatives and Cell C’s broader fraud‑risk, cybercrime and technology strategies

Forensic Technology Management

Implement, optimise and maintain forensic analytics platforms, AI engines and cyber analytics dashboards

Evaluate emerging technologies in AI, machine learning, data engineering and telemetry processing

Integrate forensic‑analytics capabilities with SSOC, IT Security, Networks and enterprise monitoring systems

Design automation and orchestration solutions to enhance insight generation and reduce manual processing within forensic services function

Analytics‑Driven Forensic Systems Architecture&Maintenance

Architect forensic‑technology, analytics and cyber‑intelligence systems enabling enterprise fraud‑risk modelling

Design analytics‑ready data architectures, governance models and secure access‑control structures

Maintain and optimise case‑intelligence, logging and forensic‑analytics platforms

Drive automation, interoperability and continuous enhancement of analytic tooling

Lead and build advanced analytics reports, dashboards and intelligence briefings for executives and governance stakeholders

Translate complex datasets into actionable insights, predictive indicators and strategic recommendations

Communicate emerging fraud‑trends, behavioural anomalies and systemic control vulnerabilities to inform proactive solutions and continuous improvement

Minimum Qualifications

Degree in Data Science, Digital Forensics, Cybercrime, Computer Science, IT, Information Security or a related discipline

Certifications in AI/ML, data engineering, SQL analytics, telemetry analysis or digital‑forensics technologies are advantageous

Credentials such as Certified Fraud Examiner, or other similar certification, preferred (Membership to the ICFP– Institute of Commercial Forensic Practitioners) and ACFE (Association of Certified Fraud Examiners)

Experience

8 – 9 years of progressive experience in analytics‑centric forensic environments, cyber‑data science, fraud‑risk analytics or related disciplines

Demonstrated ability to design and govern analytics platforms, data pipelines, predictive models and forensic‑data ecosystems

Experience collaborating with cross‑functional technical domains such as Networks, IT Security, Cyber Defence and Risk

Solid understanding of telecommunications systems, OSS/BSS, CDRs, signalling protocols, and network logs

Cell C is an equal opportunities employer, committed to fostering a diverse and inclusive workplace where all employees are treated fairly and with respect, regardless of race, gender, age, disability or any other protected characteristic.

#J-18808-Ljbffr