National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Strategic Sourcer

Towcester
3 weeks ago
Create job alert

Job Title: Senior Strategic Sourcer

Location: Dublin

Contract: 6 months/ Hybrid

Hours: 37.5 per week

Rates: £265 per day

Job Description

SRG are looking for a senior strategic sourcer to join a global pharmaceutical company based in Dublin. As part of this role, you will be actively involved in delivering strong talent pipelines for niche roles, you will do this by working closely with talent acquisition business partners and hiring manager and utilising various recruitment tools.

Duties and Responsibilities

Collaborate with Talent Acquisition Business Partners and Hiring Managers to deliver a strong talent pipeline for niche roles
Build & maintain a strong candidate pipeline to support current and future hiring requirements with specific focus on niche & business critical skill areas for [location]-based [functional area]
Guide hiring managers on supply and demand of talent through the use of market intel tools to support data-lead hiring
Identify, engage and activate passive candidates through Boolean, LinkedIn, specialist channels and innovative search techniques for active and longer-term talent needs.
Leverage CRM to cultivate and build talent pools for current and future hiring.
Make data-driven recommendations on targeting talent
Participate in digital marketing campaigns to demonstrate activity of passive talent.
Proactively share market and competitive intelligence to inform talent, business, and organizational design decisions
Be an ambassador for the company mission and purpose, strengthen our employer brand and inspire candidates to join Novartis.
Ensure data compliance within systems and tools (CRM, Applicant Tracking System, social media, etc.) and adherence to relevant geographic labour and employment laws
Screening & assessment of talent directly sourced in line with [functional area] role requirements.
Adherence to Novartis, People & Organization and Talent Acquisition policies and processes
Provide real time data driven insights to your Head of TA, [Functional Area] on shifting market dynamics, that can be shaped to inform and influence reward decisionsExperience and Qualifications

5+ years [Level 4] experience in recruitment either in an agency or inhouse talent acquisition team.
Proven experience in sourcing gained in a recruitment agency/ consulting and/or in-house recruitment environment.
Cross-country, cross-functional collaboration experience and ability to manage partner relationships in a fast-paced environment.
Ability to demonstrate strong process ownership and accountability.
Experience of working with a CRM i.e. Avature.
Experience of using market intel tools to guide hiring manager decisions
Curiosity, collaboration, solution-focused thinking
Deep understanding of the technical requirements of commercial, medical and value & access job opportunities, functional skills, and the value of the role to the company and to future colleagues
Previous experience in developing diverse pipelines, preferably in Commercial function
Expertise and understanding of the latest regional hiring trends with a focus on the pharmaceutical industryCarbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy

Related Jobs

View all jobs

Senior Analyst

Senior Data Analyst

Senior Pricing Data Scientist

Senior Health Data Analyst

Senior Data Engineer

Senior Data Engineer

National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.