Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sr Data Architect to develop and implement data governance policies and frameworks to ensure data quality, security, and compliance for B2B applications (ServiceNow, NetCracker, Salesforce, Amdocs, BMC Remedy) for our large telecom client -19185

S.i. Systems
London
1 year ago
Applications closed

Related Jobs

View all jobs

Solution Consultant - IT & Data Science

Sr Data Scientist

Sr. Data Scientist London, UK

Sr Data Scientist (London)

Sr. Manager, Data Science & AI

Sr. Manager, Data Science & AI

Sr Data Architect to develop and implement data governance policies and frameworks to ensure data quality, security, and compliance for B2B applications (ServiceNow, NetCracker, Salesforce, Amdocs, BMC Remedy) for our large telecom client -

Location- WFH-Remote

Duration- 6 Months(High possibility of extension to 2 years)

Description:

We are seeking a seasoned Data Architect & Governance Leader to join our dynamic team. In this pivotal role, you will be responsible for establishing and overseeing data governance frameworks and data stewardship initiatives across the organization. You will collaborate with various business entities to understand their data needs and ensure that master data is accurately defined, maintained, and shared across systems. Your expertise will drive the effective flow of data within the enterprise, supporting strategic decision-making and operational excellence.

**Key Responsibilities:**

Develop and implement data governance policies and frameworks to ensure data quality, security, and compliance across the organization Collaborate with business stakeholders to identify data requirements, establish data stewardship roles, and define master data standards. Assess and optimize data flows between systems, ensuring seamless integration and accessibility of critical data. Lead initiatives to enhance data literacy across teams, fostering a culture of data-driven decision-making. Monitor data governance practices and recommend improvements to align with industry best practices and regulatory requirements.

**Qualifications:**

Proven experience as a Data Architect or in a similar governance role, with a strong understanding of data management principles. Expertise in master data management, data stewardship, and data integration techniques. Excellent communication and interpersonal skills, with the ability to navigate complex organizational structures. Familiarity with data governance tools and frameworks. Strong analytical skills and a problem-solving mindset.

Must to have skills:

Familiarity with enterpriseB2Btools (some examples includeServiceNow, NetCracker, Salesforce, Amdocs, BMC Remedy, etc.) in previous roles wheredata architectureorgovernancewas a large part of their role. Must be able to navigate hierarchy ofstakeholdersand technical architects to get to the required data and processes Must be able to prepare comprehensive presentations that can be presented to various levels of leadership

Nice to have skills:

Experience with Telco's or Technology Providers generally Industry certifications (e.g. TOGAF or similar) Experience withServiceNowsince this will be a core pillar going forward

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.