Value Architect, Data & AI

• Be the trusted advisor. Work with senior client stakeholders (CDOs, heads of data, business owners) to connect their priorities to data and AI outcomes, and shape strategies and roadmaps they can act on.
• Own the architecture. Influence architecture and design decisions so solutions scale and stay governed, secure, and compliant. You need not ship every pipeline yourself, but you can steer an AI-first approach and stand behind the design.
• Stay through delivery. Don’t hand off after the sale. Stay hands-on enough to protect the architecture, data governance, quality, and the value case from proposal to production.

• Support sales. Lead discovery and qualification (backlog size, handovers per request, time-to-delivery, platform readiness), handle the hard objections with evidence, and shape the proposal, including the solution approach, the work estimate (often AI-augmented), and the customer value case. Always close on a concrete next step, whether a workshop, a discovery project, or full-scale delivery.
• Develop the offering. Turn engagements into reusable assets and named offerings, sharpen the land-and-expand packaging, and feed proof points, patterns, and prompts back into the offering.
• Help us grow. Support growing the business, take ownership of selected offerings, mentor others, and help run AI-aware delivery teams, so growth is never bound by one person’s bandwidth.

• A senior background in data and technology with business acumen (Data Architect, Principal Consultant, Head of Data or Analytics, Solution Lead, or similar), with ten or more years across both the customer and consulting sides.
• A track record of winning new, high-value customers and engagements and growing existing accounts, with real ownership of business growth, not just delivery.
• Consultative mindset. You lead with the customer’s problem, not with technology. You listen, frame the real question, and guide senior stakeholders to a decision they own. Enterprise architecture skills and experience are a strong asset here, connecting business strategy, operating model, data, and technology into one coherent picture.
• AI-native ways of working. Fluent use of modern AI tools (such as Claude Cowork, Claude Design) and coding agents (such as Claude Code, GitHub Copilot, Codex, Cursor, Kiro). You work AI-first by habit, not by exception.
• Platform familiarity. Comfortable with modern cloud and data stacks such as Databricks and Microsoft Fabric. Relevant certifications are a plus.
• Value-case construction. An instinct for where AI and unified data remove cost rather than shift it, and the ability to turn that into a case a CFO and a CDO both believe. A commercial mindset, and ownership of your pipeline.
• Domain depth. Working knowledge of at least one industry we serve (manufacturing, energy, the public sector, retail, or similar) is a strong plus, and helps you speak the customer’s language from day one.
• Communication. Strong spoken, written, and presentation skills in Finnish and English, with the ability to reach both technical teams and C-level stakeholders. German is an asset.

• Shape it, don’t inherit it. You help build and grow the offering alongside the Head of Data & AI, rather than maintaining one someone else froze in place. It is an evolving, entrepreneurial role with room to leave your mark.
• Work at the AI-first frontier. Agentic, spec-driven data delivery and platform modernization applied to real enterprise problems, not perpetual pilots.
• A community, not a silo. A network of architects from several disciplines and transformation consultants behind you, and delivery teams who can actually ship what you sell.
• Sell from strength. Own your pipeline and your patterns, with the weight of a trusted partner to governments and Fortune 500 companies across Europe, the GCC, Latin America, and North America. Microsoft named us in its Industrial AI Partner Guide, one of a select group of integrators trusted to deliver industrial AI at scale.

Salary range: 7000-9000€ / month (full-time). Final compensation will depend on factors such as relevant experience, role seniority, and skill set.

Nortal values equality and diversity in our work community. We welcome applicants with different backgrounds, such as in regard to age, gender, culture or minority group.