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LexisNexis (RELX)
LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

Marketing Operations Specialist (Lead Management)

직무마케팅
경력리드급
위치UK - London (London Wall)
근무오피스 출근
고용정규직
게시1주 전
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About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the team:

Working closely with Data Services Sales Operations, CBS (MA squad), Mar Tech, Campaign Managers and Data teams, this role serves as the functional bridge between front end marketing systems and downstream commercial platforms

About the role:

The Lead Management Specialist is a trusted subject matter expert within the Marketing Hub, responsible for the end‑ to‑end design, execution, and governance of lead management, lead flow, and lead related integrations across marketing and sales systems. This role ensures that high quality, compliant, scalable lead processes connect marketing activity to Sales in a timely and accurate way minimising manual intervention and increasing automation, reducing risk, and improving conversion outcomes.

The Lead Management Specialist ensures that allocation logic, integrations, scoring, and data flows are robust, documented, and continuously improved. This role is empowered to advise, challenge, and steer decisions relating to the health, scalability, and compliance of the lead ecosystem.

Responsibilities:

  • Lead Allocation & Flow Management (Eloqua BAU): delivers standardised automated workflows across Data Services, implements and optimises Data Services Sales Operations allocation rules, and ensures accurate, compliant routing across regions and brands, while resolving allocation issues and managing MA Squad change requests to maintain uninterrupted lead flow.

  • Integration Management & Troubleshooting: focuses on diagnosing and resolving integration failures affecting lead flow and data integrity, performing targeted data cleansing to correct records and sync logic, and managing medium‑ to large‑scale updates to ensure accurate Marketing‑to‑Sales data transfer.

  • Journey Orchestration & CDP‑to‑Sales Enablement: supporting the integration of CDP and Journey Orchestration outputs, ensuring new behaviours, attributes, and scoring signals are correctly mapped, validated, and reliably passed through Eloqua to the CRM for Sales consumption.

  • Lead Scoring Management:

maintaining and optimising Eloqua lead scoring models to ensure accuracy and dependable flow into Salesforce, while supporting the integration of new CDP‑generated scoring models where required.

  • Standardisation & Continuous Improvement:

drives standardisation of lead allocation and integration logic across all brands, contributes to long‑term simplification by removing high‑maintenance flows, and reduces reliance on daily monitoring through automation, root‑cause fixes, and strong governance.

  • Project Support & Delivery: supports Data Services Sales Operations on large‑scale allocation and Marketing Insight optimisation, contributes to cross‑brand transformation initiatives, and assists in improving allocation, scoring, and integration performance.

Requirements:

  • Excellent experience building and maintaining automated lead allocation, scoring, and integration workflows within Eloqua, Salesforce, and CDP environments

  • Proven ability to implement and optimise complex allocation logic and lead scoring models at scale across multiple brands or regions

  • Hands‑on expertise diagnosing and resolving integration failures impacting lead flow, data sync, segmentation, and attribution

  • Solid data management skills, including structured data cleansing and execution of medium‑ to large‑scale data updates

  • Experience supporting CDP, Journey Orchestration, and Data Services Sales Operations led initiatives, including cross‑brand transformation programmes

  • Ability to drive standardisation, simplify high‑maintenance workflows, and reduce operational overhead through automation and governance

  • Exceptional analytical, prioritisation, and stakeholder management skills, with the ability to manage multiple change requests effectively

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days

  • Health screening, eye care vouchers and private medical benefits

  • Wellbeing programs

  • Life Assurance

  • Access to a competitive contributory pension scheme

  • Save As You Earn share option scheme

  • Travel Season ticket loan

  • Electric Vehicle Scheme

  • Optional Dental Insurance

  • Maternity, paternity and shared parental leave

  • Employee Assistance Programme

  • Access to emergency care for both the elderly and children

  • RECARES days, giving you time to support the charities and causes that matter to you

  • Access to employee resource groups with dedicated time to volunteer

  • Access to extensive learning and development resources

  • Access to employee discounts scheme via Perks at Work

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click[here

](https: //www.relx.com/careers/join-us/benefits)to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams[here

](https: //nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstories.relx.com%2Fhow-to-avoid-job-scams%2Findex.html&data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169036749%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=bMcV1zP1yRXUuNWYwyGuPPb7lCyTuoA%2BGPT0d5MfO8I%3D&reserved=0).

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

**USA Job Seekers:

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LexisNexis (RELX) 소개

LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

10,001+

직원 수

Alpharetta

본사 위치

$41.2B

기업 가치

리뷰

10개 리뷰

4.0

10개 리뷰

워라밸

4.2

보상

2.8

문화

4.1

커리어

2.9

경영진

3.2

72%

지인 추천률

장점

Great work-life balance and flexibility

Supportive and inclusive environment

Excellent benefits and health plans

단점

Compensation and salary not competitive

Limited career advancement opportunities

Management communication issues

연봉 정보

66개 데이터

Junior/L3

Mid/L4

Junior/L3 · Data Analyst I

2개 리포트

$72,700

총 연봉

기본급

$63,221

주식

-

보너스

-

$72,700

$72,700

면접 후기

후기 5개

난이도

3.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 80%

부정 20%

면접 과정

1

Application Review

2

HR Screen

3

Technical Interview

4

Background Check

5

Offer

자주 나오는 질문

Technical Knowledge

Past Experience

Behavioral/STAR

Data Analysis