Technical Product Manager (Data Platform) Location : Athens Weekly office requirement : Hybrid, 1 days/week Employment type : Permanent At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Technical Product Manager to play a key role in our Data Product team in London . If that’s you, and solving complex technical problems at scale gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 As our Technical Product Manager , you’ll sit within the Process pillar of the Data Product Team and own the evolution of our next-generation data platform. You’ll help shape the strategy and lead on the execution of how we ingest, process, validate, govern, and deliver high-quality consumer survey data at scale. This includes accelerating our migration from legacy pipelines into our modern data stack (BigQuery, dbt, Airflow/Astronomer), while ensuring near-zero disruption to client delivery. This role is critical to GWI’s future. Our Data Platform underpins everything we deliver to customers — from SaaS insights to APIs and AI integrations. Your work will directly impact how quickly new surveys reach clients, how reliably our data performs at scale, and how efficiently our internal teams operate. Specifically, you will: 👉 Shape and execute the roadmap for scalable, automated survey processing on our Data Platform 👉 Reduce time from survey completion to client availability through workflow automation, validation frameworks, and release optimisation 👉 Lead migration from legacy pipelines to NDP, sequencing change to deliver early impact while maintaining delivery stability 👉 Partner deeply with Data Engineering, Software Engineering, ML Engineering, Research, and Data Operations teams to translate complex pipeline needs into robust platform capabilities 👉 Champion observability, data quality, lineage, and governance-
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Role overview
Job description
Role Summary
The CISO Infrastructure & Cloud Services organization delivers excellence in the pursuit of breakthroughs that change patients' lives through industry-leading infrastructure operations performance. We ensure optimal performance of global application hosting and network services that power Pfizer's business processes. We strive to revolutionize service dependability by applying advanced analytics to drive predictive detection, identifying potential issues with our services and intervening before they disrupt our business. We place data at the heart of what we do and apply a relentless focus on continuous improvement to enable Pfizer's business processes and patient outcomes.
We are seeking an AI Ops SRE Platform Engineer to build and own the platform behind our AI-driven operations and to act as technical coordinator for a small AI Operations pod within Hosting SRE Operations, based in Greece. This role leads the design and delivery of our agent-assisted incident pipeline - from intake classification and enrichment, through read-only investigation, to guarded remediation approved by a human. The successful candidate combines hands-on engineering of AI agents and automation with strong operations judgement, and will convert classic infrastructure operations across Server, Storage, Data Protection, Database, Middleware and HCI into reliable, measurable AI-driven operations.
Role Responsibilities
- Accountable for the technical direction and coordination of the Greece AI Ops pod, aligning the team's work by influence rather than line authority, and acting as the senior technical decision-maker and escalation point when incidents or design choices exceed the pod's normal thresholds.
- Own the end-to-end design and delivery of the Agentic Ticket pipeline, from intake (classification, enrichment, prioritisation, routing) through cross-system investigation and root-cause drafting, accountable for its reliability, safety and readiness for production use.
- Own the capability contract that governs the agent runbooks, the integration allow-list, and read-versus-change scope per system, defined jointly with Platform and Cloud Engineering on a default-deny basis, exercising judgment over what the agent may safely be permitted to do.
- Set the standards for how connectors and remediation playbooks are built across the operational toolchain (e.g. ServiceNow, Dynatrace, Aria, AIQUM, Rubrik) with execution through SSM and Ansible, ensuring every automated action carries rollback and audit and meets the pod's safety bar.
- Hold the pipeline to explicit accuracy and reliability targets, validated against our own estate rather than vendor benchmarks, and judge when performance is trustworthy enough to move an action from human-approved to automatic.
- Embed SRE and automation-first ways of working across the pod, and hold accountability for continuous improvement and measurable toil reduction across the Hosting domains.
Qualifications
- Bachelor's degree in a technical field or equivalent practical experience.
- 4 years+ in infrastructure operations, SRE or platform engineering, including a technical leadership or lead-engineer role.
- Demonstrated delivery of production AI-agent or automation systems (for example Amazon Bedrock AgentCore, LangGraph or equivalent), including tool and connector integration via MCP or similar.
- Strong programming and automation skills (Python plus one or more of Bash, PowerShell), CI/CD and coding best practices, and IaC / configuration management (Ansible, Terraform).
- Working knowledge of at least two Hosting domains (Server/OS, Storage, Data Protection, Database, Middleware or HCI) sufficient to judge remediation safety.
- Strong data literacy and structured evaluation skills to interpret metrics and validate agent outputs.
- Familiarity with ServiceNow ITOM / Now Assist, Dynatrace and observability tooling is a plus.
- Demonstrated experience in an agile work environment possessing qualities such as a collaborative mindset, adaptability to change, and a proactive problem-solving approach.
- Demonstrated hands-on experience across infrastructure engineering, automation, and AI/AIOps platforms, with the ability to design and integrate solutions for monitoring, incident management, automated remediation, configuration management, and service reliability.
Non-Standard Work Schedule, Travel or Environment Requirements
- Periodic international and domestic travel required (less than 10%)
Please apply by sending your CV in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Information & Business Tech
About this listing
- Listed from Pfizer's careers site via Workday · last confirmed on the source 19 Oct 2026
- Posted 16 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Bachelor's degree in a technical field or equivalent practical experience
Hiring company
Pfizer
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