We are seeking an experienced Product Owner to own the end-to-end delivery of a major Cyber Risk Quantification (CRQ) programme for a global enterprise client. The role combines large-scale programme delivery, Agile product management, executive stakeholder engagement and data storytelling. You will work closely with the CISO and senior leadership to shape the solution, manage delivery and coordinate a multidisciplinary team across research, quantitative analysis, data engineering and Power BI.

Key Responsibilities

Programme & Delivery Leadership

- Own delivery of a complex, multi-year enterprise analytics programme.
- Lead governance, scope, milestones, dependencies, risks, quality and stakeholder management.
- Run the programme using Agile methodologies, including backlog management, prioritisation, sprint planning, user stories and acceptance criteria.
- Coordinate multidisciplinary workstreams and maintain high delivery standards. Executive Stakeholder Management
- Partner with the CISO and senior leadership to define priorities, decision requirements and risk appetite.
- Lead workshops and translate strategic objectives into clear requirements.
- Manage expectations, trade-offs and executive communications throughout delivery.

Product & Decision Framework
- Own the product vision and delivery backlog.
- Work with the CISO to develop and operationalise the CRQ decision framework.
- Translate analytical outputs into clear user journeys, decision points and executive narratives.
- Provide direction on information hierarchy, wireframes and visual storytelling. Enterprise Discovery
- Direct research across the organisation to understand the enterprise landscape and gather the information required by the programme.
- Guide questionnaires, stakeholder interviews and evidence collection.
- Identify information gaps and ensure findings are converted into actionable requirements.

The Team

You will lead a multidisciplinary team including:




- Quantitative Analysts – probabilistic modelling, simulations and analytical methodology.
- Enterprise Researchers – organisational discovery, questionnaires and information gathering.
- Data Engineers – data sourcing, integration and ingestion.
- Power BI Developers – implementation of analytics, dashboards and decision-support experiences.
- Client SMEs and stakeholders – business, cybersecurity and organisational expertise.

The Ideal Candidate

- Proven delivery of large-scale enterprise technology, data, analytics or BI programmes, including multi-year engagements of €1m+.
- Strong consulting experience with C-suite and senior enterprise stakeholders.
- Hands-on experience leading Agile delivery and managing product backlogs.
- Experience delivering analytics or BI solutions with Power BI teams.
- Experience coordinating multidisciplinary teams across research, data engineering, analytics and technology.
- Strong product mindset with the ability to turn ambiguous requirements into an executable solution.
- Excellent communication, facilitation and visual storytelling skills.
- Solid analytical literacy and the ability to translate complex quantitative outputs into clear business implications. Desirable
- Experience in cybersecurity, cyber risk, operational risk or enterprise risk.
- Exposure to CRQ or quantitative risk methodologies.
- Experience with executive dashboards or decision-support products.

What Success Looks Like

Success means delivering an end-to-end CRQ framework for a clearly defined set of priority risk scenarios. The solution will combine enterprise discovery, quantitative analysis, data engineering and executive reporting into a working operational capability, with automated or real-time data ingestion and updates where appropriate. The result should provide the CISO and senior leadership with a trusted, current and repeatable view of cyber risk that supports material risk and investment decisions.

📌 Product Owner (India)
🏢 HireFlex
📍 India