Sr. Project Manager/Program Manager - Digital Twin / AIOps (OSS)

Stackstudio Digital.
Reading
3 weeks ago
Create job alert


Job Title: Sr. Project Manager/Program Manager - Digital Twin / AIOps (OSS)
Location: Reading, UK- 3 days onsite
Job Type: Permanent/Fixed Term

Job Summary:

Job Role:

  • Job Role:

    • We are seeking a seasoned Digital Twin / AIOps Program Manager with 15+ years in the Telecom domain to lead end-to-end transformation programs that build network digital twin capabilities and scale AI-driven operations across OSS/BSS.
    • You will own strategy, roadmap, and value realization-driving ingestion of multi-source telemetry, topology modeling, and real-time analytics to enable predictive assurance, event correlation, root-cause analysis, and closed loop automation.
    • The role requires strong program governance, change management, and stakeholder alignment across architecture, operations, and vendor ecosystems, with clear KPIs (MTTR reduction, SLA adherence, cost-to-serve, CX uplift).

    Key skills:

    • Deep understanding of service assurance, fulfillment, and network operations; hands-on with digital twin frameworks (topology/graph modeling, intent-based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow)
    • Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces)
    • Experience ...

Related Jobs

View all jobs

Sr Clinical Data Scientist CDM (Hybrid - Europe) Veeva CDMS and Veeva CDB - Required

Sr Clinical Data Scientist CDM (Hybrid - Europe)

Senior Clinical Data Scientist — Veeva CDMS/CDB Lead (Hybrid Europe)

Senior Clinical Data Scientist, CDM Europe (Hybrid)

Data Scientist

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.