Job Description

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 produce fully engineered, product-oriented platforms that enable measurable and repeatable business value at scale. The 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 optimization, 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 clear 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.

The selected candidate will:

• 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 prioritize business demand coming 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 program-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 realization, quality, and cost – producing executive-grade reporting for the Head of Data Technologies, Analytics & BI Solutions.
• Oversee the productization of validated initiatives into industrialized, 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, FinOps) and translate them into roadmap initiatives.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5 years of experience in delivery management, program/project management, or technical product management within technology-driven organizations or consultancy firms.
• Fluent English (written and spoken).
• Solid background in software, data, or solution engineering (e.g., as a 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 programs with parallel engineering streams and multiple business stakeholders.
• Strong product management capability: demand intake, prioritization frameworks, roadmap building, stakeholder alignment, and value tracking.
• Mastery of Agile delivery practices (Scrum, Kanban, SAFe) and of project/program management methodologies and tooling (Jira, Gitlab, or equivalent).
• Working knowledge of modern cloud, data, and AI architectures (data platforms, lakehouse, MLOps, GenAI, microservices, APIs) at the level required to read trade offs, not to design them.
• Experience working in regulated environments, preferably financial services (asset management, banking, or insurance).

Nice to have:

• Master’s degree in Engineering, Computer Science, or MBA.
• Domain knowledge of the asset management value chain (Front Office, Trading, Middle/Back Office, Risk, Compliance, Analytics & Reporting).
• Certifications in program/product management or agile delivery (PMP, PgMP, SAFe, PSM, Product Owner, ITIL).
• Familiarity with FinOps, vendor and contract management, and budget governance.

Main expected skills:

• Outstanding stakeholder management, communication, and negotiation skills with both business and engineering audiences, up to senior leadership.
• Strong product mindset: customer-centric, outcome-oriented, value-driven.
• Excellent prioritization and trade-off skills
• Strategic thinking combined with execution discipline and bias to delivery.
• Ability to lead and exert influence across multidisciplinary teams
• Innovative mindset and intellectual curiosity, comfortable with ambiguity and emerging technologies.
• Strong analytical and problem-solving skills.
• Effective facilitator of planning, design, and decision-making
• Resilience and adaptability in fast-paced, high-stakes environments.
• Strong coaching mindset and mentoring approach to project teams and counterparts, fostering growth and capability building.

Initial gross annual salary from €40.000, under the National Collective Labour Agreement for the Banking Sector (CCNL Credito) and the applicable Company Supplementary Agreement (Contratto Integrativo Aziendale). In line with the Company Supplementary Agreement, the following are also provided: health insurance, supplementary pension provision, welfare plan, possibility to work in smart working, preferential terms on products and services offered by the Group, etc.