It Engineering Delivery Manager – Data Technologies

Questa posizione è in Generali Italia

Il processo di selezione sarà interamente gestito Generali Italia.

The Data Technologies, Analytics & BI Solutions team’s mandate is to design, build, and operate scalable Data, AI, and Cloud products and platform services, engineered for reliability, reuse, and long-term sustainability. The team mission is to produce fully engineered, product-oriented platforms that enable measurable and repeatable business value  team owns the end-to-end engineering foundations required for industrialization: reference architectures, shared platforms, data governance enablers, AI‑engineering practices, reliability standards, security controls, performance optimisation, and cost efficiency.

Operating within a tech‑inspired model, the team collaborates closely with other IT internal structures (such as Innovation, AI & IT Governance) while maintaining a clear mandate: transforming validated initiatives into robust, operable, and economically sustainable products, with the objective of ensuring that what reaches production is scalable, maintainable and aligned with the long‑term digital engineering backbone required to support growth, adoption and financial sustainability.

Responsibilities

Own end‑to‑end delivery and product evolution of one or more specific assets within the Data Technologies portfolio (e.g., Data Platform, Service Portal, AI & Data Products), in a specific business domain, acting as the single point of accountability for that asset.

Gather, qualify, and prioritise business demand from Operations, Research, Investments, Risk, Compliance and other stakeholders, translating it into a coherent backlog and roadmap aligned with the capacity assigned to the asset.

Translate business needs into engineering‑ready requirements, refining scope and acceptance criteria with the engineering streams, and challenging feasibility, estimates and trade‑offs.

Coordinate cross‑team delivery across Platform Engineering, Data & AI Engineering, Infrastructure & Platform Engineering, and Analytics & BI: scope, milestones, dependencies, releases and risk management.

Partner with the Leads of the engineering streams to align capacity, sequencing and technical direction; broker resource allocation conflicts and dependency trade‑offs.

Act as the primary interface between business stakeholders and engineering streams, ensuring expectations are aligned, decisions are made on time and escalations are surfaced early.

Run programme‑level activities: roadmap reviews, planning cycles, status updates, risk and dependency reviews, retrospectives and stakeholder demos.

Define and monitor KPIs for the asset – time‑to‑delivery, adoption, value realisation, quality and cost – producing executive‑grade reporting for the Head of Data Technologies, Analytics & BI Solutions.

Oversee the productisation of validated initiatives into industrialised, scalable and economically sustainable products, from MVP to full rollout.

Coordinate vendors, partners and external suppliers contributing to the asset’s delivery, ensuring quality, timeliness and contractual compliance.

Continuously improve delivery practices, agile rituals, tooling and engineering operating model within the team.

Scout opportunities for innovation on the asset (e.g., GenAI, agentic workflows, automation, Fin Ops) and translate them into roadmap initiatives.

Qualifications

Bachelor’s degree in Computer Science, Engineering or a related field.

5 years of experience in delivery management, programme/project management or technical product management within technology‑driven organisations or consultancy firms.

Fluent English (written and spoken).

Solid background in software, data or solution engineering (e.g., former engineer, solution designer or analyst) enabling effective dialogue with senior technical stakeholders and the ability to critically assess complex technical proposals.

Proven track record managing complex, multi‑team programmes with parallel engineering streams and multiple business stakeholders.

Strong product management capability: demand intake, prioritisation frameworks, roadmap building, stakeholder alignment and value tracking.

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