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Director of Testing

at Capgemini

Back to all Data Science / AI / ML jobs
Capgemini logo
Consultancies

Director of Testing

at Capgemini

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified AUD

Currency: $ (AUD)

City
Melbourne
Country
Australia

As a senior member of Capgemini's Testing capability for the Australia & New Zealand market, you will drive measurable business value through differentiated, AI-enabled testing services and platform-led delivery. You will shape testing strategy, govern standards, and lead critical deliveries, escalations, and bids with architectural credibility and client advocacy. You will develop and coach internal capability (including graduates and reskilling paths) to address AI testing, data & model quality, cloud-native, microservices, integration, and security, and partner with DAC and APE to embed quality into solution architecture and platform adoption. You will enable continuous improvement with metrics, observability, and defect economics, maximise utilisation, and influence pricing and cost-to-serve across the portfolio.

Your role:

As a senior member of the Testing capability for the Australia & New Zealand market unit, you will provide measurable business value through differentiated, AI-enabled testing services and platform-led delivery. This role blends delivery, architectural credibility, solution orchestration, client advocacy, and being a trusted advisor to win high-impact programmes, and improve outcomes across coverage, reliability, speed, and cost of quality with World Class Test Delivery as the focus.

  • Contribute to the A/NZ Quality Engineering delivery of the global testing strategy and the Test Capability Office (TCO) blueprint.
  • Develop and coach internal capability (including graduates, and reskilling paths) to address emerging needs (AI testing, data & model quality, cloud-native, microservices, integration, and security).
  • Lead from the front during critical deliveries, escalations, recovery programmes, bid presentations and solutioning for RFP’s, where required.
  • Navigate organisational dynamics with maturity and political awareness; work proactively with sales, delivery, (delivery of AI, Architecture & Consulting (DAC) , AI Quality Engineering Platform Engineering (APE), and account leadership.
  • Represent Capgemini at conferences, industry events, analyst briefings, and client councils.
  • Contribute to solution narratives for pursuits; champion “quality by design” and platform-first approaches.
  • Partner with DAC to embed quality in solution architecture (shift-left/right, testability, security-first, observability, and data lineage).
  • Partner with APE to define and drive adoption of the quality engineering platform (automation frameworks, GenAI accelerators, test data & environment services, performance engineering toolchains etc).
  • Govern technical standards, blueprints, and reusable assets across APAC Testing accounts.
  • Oversee technical assurance across high-impact deliveries (solution design, integration into CI/CD, guardrails for LLMs/GenAI, environment and data readiness).
  • Enable continuous improvement through metrics-driven insights, SRE/observability practices, and defect economics.
  • Help maximise utilisation, manage bench, and improve portfolio margin.
  • Influence pricing, solution shaping, and cost-to-serve levers through platform reuse, automation, offshore, nearshore, and right shore strategies.

Your profile:

  • 15+ years in Quality Engineering/Software Engineering, interfacing with and influencing CxO level stakeholders.
  • Track record of leading complex, multi-country quality engineering engagements, and programmes; turning around at-risk deliveries; establishing platform-led testing at scale.
  • Technical experience of Cloud-native & microservices, AI-first design, contract testing, service virtualisation.
  • CI/CD, DevSecOps, SRE/observability awareness.
  • Test automation awareness and ability to provide valuable thought leadership
  • AI/GenAI Testing thought leadership on prompt safety, model performance/robustness, guardrails, lineage & governance from a QE perspective.
  • Leadership Style: Mature, politically astute, calm in a crisis; leads by influence and example; excellent written/oral communication.
  • Education: STEM degree required; MBA or equivalent commercial exposure preferred.
  • Travel: Willing and able to travel interstate and occasionally internationally

Director of Testing

at Capgemini

Back to all Data Science / AI / ML jobs
Capgemini logo
Consultancies

Director of Testing

at Capgemini

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified AUD

Currency: $ (AUD)

City
Melbourne
Country
Australia

As a senior member of Capgemini's Testing capability for the Australia & New Zealand market, you will drive measurable business value through differentiated, AI-enabled testing services and platform-led delivery. You will shape testing strategy, govern standards, and lead critical deliveries, escalations, and bids with architectural credibility and client advocacy. You will develop and coach internal capability (including graduates and reskilling paths) to address AI testing, data & model quality, cloud-native, microservices, integration, and security, and partner with DAC and APE to embed quality into solution architecture and platform adoption. You will enable continuous improvement with metrics, observability, and defect economics, maximise utilisation, and influence pricing and cost-to-serve across the portfolio.

Your role:

As a senior member of the Testing capability for the Australia & New Zealand market unit, you will provide measurable business value through differentiated, AI-enabled testing services and platform-led delivery. This role blends delivery, architectural credibility, solution orchestration, client advocacy, and being a trusted advisor to win high-impact programmes, and improve outcomes across coverage, reliability, speed, and cost of quality with World Class Test Delivery as the focus.

  • Contribute to the A/NZ Quality Engineering delivery of the global testing strategy and the Test Capability Office (TCO) blueprint.
  • Develop and coach internal capability (including graduates, and reskilling paths) to address emerging needs (AI testing, data & model quality, cloud-native, microservices, integration, and security).
  • Lead from the front during critical deliveries, escalations, recovery programmes, bid presentations and solutioning for RFP’s, where required.
  • Navigate organisational dynamics with maturity and political awareness; work proactively with sales, delivery, (delivery of AI, Architecture & Consulting (DAC) , AI Quality Engineering Platform Engineering (APE), and account leadership.
  • Represent Capgemini at conferences, industry events, analyst briefings, and client councils.
  • Contribute to solution narratives for pursuits; champion “quality by design” and platform-first approaches.
  • Partner with DAC to embed quality in solution architecture (shift-left/right, testability, security-first, observability, and data lineage).
  • Partner with APE to define and drive adoption of the quality engineering platform (automation frameworks, GenAI accelerators, test data & environment services, performance engineering toolchains etc).
  • Govern technical standards, blueprints, and reusable assets across APAC Testing accounts.
  • Oversee technical assurance across high-impact deliveries (solution design, integration into CI/CD, guardrails for LLMs/GenAI, environment and data readiness).
  • Enable continuous improvement through metrics-driven insights, SRE/observability practices, and defect economics.
  • Help maximise utilisation, manage bench, and improve portfolio margin.
  • Influence pricing, solution shaping, and cost-to-serve levers through platform reuse, automation, offshore, nearshore, and right shore strategies.

Your profile:

  • 15+ years in Quality Engineering/Software Engineering, interfacing with and influencing CxO level stakeholders.
  • Track record of leading complex, multi-country quality engineering engagements, and programmes; turning around at-risk deliveries; establishing platform-led testing at scale.
  • Technical experience of Cloud-native & microservices, AI-first design, contract testing, service virtualisation.
  • CI/CD, DevSecOps, SRE/observability awareness.
  • Test automation awareness and ability to provide valuable thought leadership
  • AI/GenAI Testing thought leadership on prompt safety, model performance/robustness, guardrails, lineage & governance from a QE perspective.
  • Leadership Style: Mature, politically astute, calm in a crisis; leads by influence and example; excellent written/oral communication.
  • Education: STEM degree required; MBA or equivalent commercial exposure preferred.
  • Travel: Willing and able to travel interstate and occasionally internationally