# Tungi Dang — Full Profile > AI-native Technical Product Lead, Berlin. A decade embedding in enterprise engineering teams. ## Identity - Name: Tungi Dang - Role: AI-native Technical Product Lead - Location: Berlin, Germany - Working languages: German, English - Email: tungi@dang.business - LinkedIn: https://www.linkedin.com/in/tungidang/ - GitHub: https://github.com/8tungi - CV: https://technotungi.com/documents/tungi-dang-cv.pdf - About page: https://technotungi.com/about - Contact: https://technotungi.com/contact ## Career Summary Embedded in engineering teams at Orcrist, E.ON, Allianz, Volkswagen, Bundesdruckerei, Nelly Solutions, and Telefonica. Takes over backlog, discovery, and operating rhythm and stays until the team runs independently. Before that, six years at Capgemini and Erminas: solution architecture across fintech, retail, insurance, aerospace, and IoT. ## Work History **Orcrist** (2025 – 2026) — GitOps Platform, Law Enforcement Enterprise GitOps / IDP on GKE for mission-critical law enforcement workloads. Zero Trust security, FluxCD, policy-as-code. Application teams self-serve on paved roads. Key result: 30 FTEs across the wider program **E.ON** (2025) — AI Productionization & Observability AI productionization for 8M+ energy customers under KRITIS. 2M+ monthly LLM interactions at 92% accuracy. Consolidated six monitoring tools into one OpenTelemetry platform. Key result: 2M+ LLM interactions monthly **Allianz** (2022 – 2023) — Cloud Platform Engineering Getting a cloud environment took over a year. Built developer self-service with compliance baked in. Same thing now takes days. Key result: Self-serve environments on demand **Volkswagen** (2022 – 2023) — Commerce Platform Five brands, five ordering systems, no shared inventory. Built the commerce backbone that unified them. 1M+ users now see real prices and real stock. Key result: 1M+ active users **Bundesdruckerei** (2022 – 2024) — Sovereign Data & AI Platform Every ministry was building its own data platform from scratch. Designed one sovereign platform five federal ministries share. Key result: v1.0 in production, June 2023 **Nelly Solutions** (2023 – 2024) — PVS Integrations, Embedded Finance & AI Foundation PVS connectors, embedded finance, and AI layer for 1,200+ practices and 2M+ patients. Launched Italy, made Spain ready. Key result: 30+ PVS systems integrated **Telefonica** (2023 – 2024) — AI Rollout-Manager, Customer Data Platform Customer data scattered across nine touchpoints. Unified with Adobe Real-Time CDP and launched AI-driven lifecycle journeys. Key result: 21% of cart abandoners purchased within 30 days ## Education - University of Federal Armed Forces: M.Sc. Machine Learning & Product Management (Top 15%, thesis 1.3) - University of Hamburg: Health Economics & Computer Science - Copenhagen Business School: Research Term - San Diego State University: Computational Engineering & Applied Economics - University of Applied Sciences: Welding Engineering ## Full Work Portfolio ### Bahlsen. Data & AI Leadership (Bahlsen Group) - URL: https://technotungi.com/work/10-bahlsen - Role: Interim Head of Data & AI - Timeframe: 2026–present - Industry: FMCG - Published: 2026-08-22 - Summary: Inherited a data platform with no estate-level documentation. Mapped it, audited it in three lenses, sequenced the modernization, and shipped the two internal products that were missing. - Problem: A capable, hand-operated data platform built by other people, with no document anywhere explaining how it fits together. - Outcome: A mapped estate, a severity-ranked audit, a sequenced modernization roadmap, and two internal products shipped. - Results: Estate audit (Strategy, architecture, DevEx) · AI Compass (SSO-gated use-case portfolio) · Design system (Tokens + web components) ### Orcrist. GitOps Platform (Orcrist) - URL: https://technotungi.com/work/9-orcrist - Role: Technical Product Lead, Platform Engineering - Timeframe: 2025–2026 - Industry: GovTech - Published: 2026-05-15 - Summary: Inherited a platform that was thin on security, reliability, scalability, and observability. Rebuilt it around GitOps, policy-as-code, and zero-trust defaults. - Problem: A platform that was thin on security, reliability, scalability, and observability. - Outcome: Zero-trust GitOps platform with policy-as-code and golden paths for application teams. - Results: 5 Senior FTEs (Platform team) · 30 FTEs (Cross-functional program) · Mission-critical (Workloads for law enforcement) ### E.ON. AI-native Observability (E.ON) - URL: https://technotungi.com/work/7-eon - Role: AI-native PO | Technical Manager, Observability Platform - Timeframe: 2025 - Industry: Energy - Published: 2025-10-03 - Summary: AI productionization for 8M+ energy customers under KRITIS. Six monitoring tools consolidated into one platform. 2M+ monthly LLM interactions at 92% accuracy. - Problem: AI productionization for 8M+ energy customers with no MLOps baseline. Six monitoring tools, no shared view when the grid broke. - Outcome: Production AI at enterprise scale. One observability platform across IT, OT, and grid with agentic diagnostics. - Results: 2M+ monthly (LLM interactions at 92% accuracy) · 45% faster (Model deployment) · 6 → 1 (Monitoring tools consolidated) ### Nelly. PVS & Embedded Finance (Nelly Solutions) - URL: https://technotungi.com/work/6-nelly - Role: Technical Product Owner Lead - Timeframe: 2023–2024 - Industry: HealthTech / FinTech - Published: 2025-06-03 - Summary: Every new medical practice meant a manual integration. Scaling to 1,200+ practices and three countries meant fixing that first. - Problem: Every new medical practice meant a manual integration. Couldn't scale. - Outcome: 1,200+ practices, 2M+ patients, expanded to Italy and Spain - Results: 30+ (PVS integrations) · 0.7% (MRR churn) · 1,200+ (Practices connected) ### Telefónica. Omnichannel CDP (Telefónica Germany) - URL: https://technotungi.com/work/5-telefonica - Role: Technical Product Owner Lead - Timeframe: 2023–2024 - Industry: Telecom - Published: 2024-08-07 - Summary: Customer data scattered across nine touchpoints. A unified CDP brought 21% cart recovery and 100K+ personalized messages. - Problem: Customer data scattered across nine touchpoints. No way to personalize. - Outcome: Unified customer data. 21% cart recovery, 100K+ personalized messages. - Results: 21% (Cart recovery rate) · 100K+ (Personalised messages) · 9 touchpoints (Unified customer data) ### PLAIN. Sovereign AI Platform (Bundesdruckerei) - URL: https://technotungi.com/work/4-bundesdruckerei - Role: Technical Product Owner Lead - Timeframe: 2022–2024 - Industry: GovTech - Published: 2024-05-21 - Summary: Five federal ministries needed to share data and AI under German sovereignty rules. PLAIN made it possible. - Problem: Five federal ministries needed a shared data platform under German sovereignty rules - Outcome: Sovereign AI platform for five ministries. 2nd place eGovernment Competition. - Results: 5 ministries (Cross-department platform) · 8 months (To v1.0 in production) · 2nd place (eGovernment Competition) ### Allianz. Internal Cloud Platform (Allianz) - URL: https://technotungi.com/work/2-allianz - Role: Technical Product Owner Lead - Timeframe: 2022–2023 - Industry: Insurance / FinTech - Published: 2023-07-19 - Summary: Cloud infrastructure was fractured across 70+ countries. A self-service platform replaced provisioning that took 12–18 months at its worst with days. - Problem: 70+ countries, zero self-service. Cloud provisioning took 12-18 months. - Outcome: Self-service cloud platform. Provisioning went from months to days. - Results: 4 months (Migration, zero downtime) · Days (Provisioning, was 12–18 months) · 70+ countries (Global operations) ### Volkswagen. Agent Commerce (Volkswagen Group) - URL: https://technotungi.com/work/3-volkswagen - Role: Technical Product Owner Lead - Timeframe: 2022–2023 - Industry: Automotive - Published: 2023-02-15 - Summary: How Volkswagen moved to direct-to-consumer sales across five brands and five markets on one shared commerce platform. - Problem: Five car brands, five markets, and no shared way to sell online - Outcome: Unified commerce platform. 1M+ users across all five brands. - Results: 1M+ users (ONE platform) · 5 brands (VW, Audi, Škoda, SEAT, Porsche) · 5 markets (D2C rollout) ### gesund. E-Rezept Platform (gesund.de) - URL: https://technotungi.com/work/1-Gesund - Role: Technical Product Owner Lead - Timeframe: 2021–2022 - Industry: HealthTech - Published: 2022-05-16 - Summary: Germany’s independent pharmacies needed a digital prescription platform before mail-order took over. We built it. - Problem: Patients, pharmacies, and doctors all online. But not talking to each other. - Outcome: One platform connecting prescriptions, pharmacies, and telemedicine - Results: €417M (Rx revenue via the platform) · E-Rezept (QR, NFC eGK, PoPP-ready) · Local-first (Same-day pickup & delivery) ## Blog - [Who your agent logs in as](https://technotungi.com/blog/who-your-agent-logs-in-as) — 2026-08-24: I read 39 priced AI products from 19 vendors to work out what AI-native actually means. The split is not seats versus consumption. It is whether the agent acts as a person or as itself, and in Germany that is a co-determination question before it is a pricing one. - [7 Things I Learned Building Enterprise Platforms for Germany's Biggest Companies](https://technotungi.com/blog/7-lessons-building-enterprise-platforms-germany) — 2026-05-20: Seven lessons from a decade at E.ON, Allianz, Volkswagen, Bundesdruckerei, and Gesund.de. What actually matters when building enterprise platforms in Germany. - [How I self-hosted an AI chat on my portfolio (and why I stopped)](https://technotungi.com/blog/how-i-self-hosted-ai-chat-on-my-portfolio) — 2026-03-25: I ran my own LLM on a GPU. Cold starts killed the experience. Here's the real tradeoff between quality, speed, and money when you self-host inference. ## Thinking - [Why the DACH enterprise market builds better platforms than Silicon Valley](https://technotungi.com/thinking/dach-builds-better-enterprise-platforms) — 2026-05-20: The constraints that make the DACH market 'harder' (regulation, data sovereignty, works councils) produce structurally better enterprise platforms. - [The multi-brand platform trap: why commerce unification fails at politics](https://technotungi.com/thinking/multi-brand-platform-trap) — 2026-05-20: Every multi-brand platform unification starts as a technical challenge and fails as a political one. When engineering ignores brand autonomy, stakeholders fork the codebase. - [The provisioning tax: why enterprise cloud teams lose their velocity to environment setup](https://technotungi.com/thinking/the-provisioning-tax) — 2026-05-20: The biggest drag on enterprise engineering velocity isn't technical debt. It's the time engineers spend waiting for environments that nobody owns as a product. - [Why your SaaS observability stack is lying to you](https://technotungi.com/thinking/why-your-saas-observability-stack-is-lying-to-you) — 2026-03-18: Your dashboards show green. Your customers say it's broken. Here's why the gap exists and what to do about it. ## Resources ### The Enterprise AI Readiness Self-Check - URL: https://technotungi.com/resources/enterprise-ai-readiness-check - Kind: self-check · AI in production - Published: 2026-06-20 - Summary: Twelve questions across the five dimensions that decide whether your organisation can move AI from pilot to production — strategy, data, talent, infrastructure, and governance. - PDF: https://technotungi.com/documents/enterprise-ai-readiness-check.pdf ### The EU AI Act Product Quick-Check - URL: https://technotungi.com/resources/eu-ai-act-product-quick-check - Kind: quick-check · AI compliance - Published: 2026-06-20 - Summary: The EU AI Act applies since August 2026, and the high-risk obligations land on 2 December 2027. Place every AI feature in its risk tier — the four tiers, the Annex III trigger areas, and the five things a product team must have in place now. - PDF: https://technotungi.com/documents/eu-ai-act-product-quick-check.pdf ### The Platform Discovery Checklist - URL: https://technotungi.com/resources/platform-discovery-checklist - Kind: checklist · Platform strategy - Published: 2026-06-20 - Summary: The questions to answer before you build or buy an enterprise platform capability — scope, constraints, integration depth, and coverage — in the order a discovery works through them. - PDF: https://technotungi.com/documents/platform-discovery-checklist.pdf ### Build, Buy, or Partner: The AI Capability Decision - URL: https://technotungi.com/resources/build-vs-buy-vs-partner - Kind: guide · Platform strategy - Published: 2026-07-06 - Summary: The six questions that actually decide whether to build an AI capability in-house, buy a vendor, or bring in a partner — with an honest matrix that lands on 'buy' or 'build' when that is the right call. - PDF: https://technotungi.com/documents/build-vs-buy-matrix.pdf ### The Enterprise Product Operating Model Guide - URL: https://technotungi.com/resources/enterprise-product-operating-model - Kind: guide · Operating model - Published: 2026-06-20 - Summary: How to run product inside a DACH enterprise without drowning in governance — team topology, decision cadence, stakeholder alignment, and where an embedded product lead plugs in. - PDF: https://technotungi.com/documents/enterprise-product-operating-model.pdf ## FAQ **Q: Is Tungi available for new engagements?** A: Yes. Tungi engages as fractional Technical Product Lead or embedded consultant. Book a call at https://technotungi.com/contact. **Q: What industries has Tungi worked in?** A: Energy (E.ON, KRITIS), insurance (Allianz), automotive (Volkswagen), government/security (Bundesdruckerei, law enforcement), healthcare (Nelly Solutions), telecommunications (Telefonica). **Q: What is Tungi's typical engagement model?** A: Embedded in the team — Slack, Jira, incident calls. Tungi takes over backlog, discovery, and operating rhythm and stays until the team runs independently. **Q: Does Tungi work with regulated environments?** A: Yes. KRITIS, BSI, GDPR, Gematik. Compliance shapes architecture from the first design decision across all engagements. **Q: Does Tungi work in German?** A: Yes. Tungi is based in Berlin and works in German and English. German-language pages are published under the /de prefix. ## Machine-Readable Data - Structured person profile (JSON-LD): https://technotungi.com/api/person.json - Portfolio list (JSON): https://technotungi.com/api/portfolio.json - Summary version: https://technotungi.com/llms.txt - RSS Feed: https://technotungi.com/rss.xml - German (Deutsch) index: https://technotungi.com/llms-de.txt - German (Deutsch) full profile: https://technotungi.com/llms-full-de.txt