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⚡ Source: ReedRef: 56828580

Senior Data planner - London - Hybrid

Michael Page Technology·London·Posted 6 days ago
🏠 Hybrid💰 50-60k GBP/year⭐ Senior
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Job description

Original text imported from Reed

Senior Data Planner

This role owns relationships with external data vendors and is accountable for ensuring externally sourced data is technically fit, well-integrated, governed, and delivers long-term value across the organisation.

Client Details

Senior Data Planner

The employer is a well-established public sector organisation, recognised for its commitment to providing critical services and supporting the community. As a large organisation, it offers a professional and structured environment with opportunities for impactful work.

Description

Senior Data Planner

  • Define and deliver the external data sourcing strategy, ensuring alignment with enterprise data architecture, analytics ambitions, and business priorities, and clearly articulating where third-party data adds value versus duplication.
  • Identify, evaluate, and onboard external data providers, assessing datasets for technical fit, data quality, scalability, security, regulatory compliance, and compatibility with existing enterprise platforms.
  • Build robust business cases for acquiring external data, considering commercial value, long-term sustainability, cost efficiency, and downstream usage across the organisation.
  • Own end-to-end vendor and partnership management, including onboarding, performance monitoring, renewals, issue resolution, and exit planning, ensuring suppliers deliver against agreed technical and commercial outcomes.
  • Lead data licensing and contractual discussions in collaboration with procurement and legal teams, providing informed input on usage rights, constraints, cost models, and risk from a data and technology perspective.
  • Provide technical oversight of external data integration, working closely with data architecture, engineering, and platform teams to assess ingestion approaches and impacts on pipelines, schemas, lineage, data quality, and target architecture.
  • Ensure compliance with data governance, risk, and regulatory standards, maintaining clear documentation on data provenance, usage restrictions, retention, and lineage, and supporting audits and regulatory responses relating to third-party data.
  • Act as a senior cross-functional partner and advisor, translating complex technical and commercial considerations into clear recommendations, and providing thought leadership on the effective and responsible use of external data across the enterprise.

Profile

Senior Data Planner

A successful Senior Data Planner should have:

Essential:

  • Significant experience workingwiththird-party / external data in an enterprise environment.
    • Strong understanding of:
    • data integration patterns and data pipelines
    • enterprise data platforms, models, and downstream consumption
    • data quality, lineage, and governance concepts
  • Proven experience managing data vendors or partnerships, including evaluating offerings and managing ongoing relationships.
  • Ability to assess whether external data is fit for purpose technically, not just commercially.
  • Excellent stakeholder management skills, with the ability to operate credibly across technical and non-technical audiences.
  • Strong analytical and decision-making capability, with attention to detail and risk.
Desirable
  • Experience in regulated or data intensive environments (e.g. financial services, pensions, insurance, public sector).
  • Familiarity with data licensing models, usage rights, and contractual considerations.
  • Experience contributing to enterprise-wide data or analytics strategies.
  • Background working alongside data architecture or data engineering teams (without requiring hands-on build).


Job Offer

Senior Data Planner

  • Competitive salary ranging from £50,000 to £60,000 per annum + Hybrid working (2 days on site)
  • Comprehensive standard benefits package.
  • Opportunity to work in a large organisation within the public sector in London.
  • Permanent position offering job security and career progression opportunities.
  • Chance to contribute to meaningful projects that impact the community.

If you are an experienced Senior Data Planner looking for a rewarding role in London, apply today to take the next step in your career within the public sector.

SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
Third-party data experienceData integration patternsEnterprise data platformsData quality assessmentData lineage managementVendor relationship managementData governance frameworks
Nice-to-have
Data licensing negotiationsRegulatory compliance expertiseBusiness case developmentCross-functional collaboration
Soft skills
Stakeholder managementCommunicationStrategic thinkingProblem solvingAnalytical thinkingNegotiationLeadership
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your third-party data experience prominently as this is explicitly mentioned as essential for the role

2

📊 Quantify your vendor management achievements: "Managed 12 data vendors, reducing costs by 25%"

3

🌐 Emphasise your understanding of enterprise data platforms and integration patterns in your technical skills section

4

🎯 Showcase experience with data governance and regulatory compliance as these are key accountability areas

5

🤝 Demonstrate cross-functional collaboration skills as the role requires working with procurement, legal, and technical teams

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Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Managed 15 external data vendors across enterprise platforms, reducing integration costs by 30% while maintaining 99.5% data quality standards
  • Built comprehensive business cases for 8 third-party data acquisitions, securing £2.4M in budget approval and delivering measurable ROI within 18 months
  • Led data governance compliance initiatives across 25 external datasets, ensuring 100% regulatory adherence and supporting 3 successful audit processes

Free to copy — tailoring requires a 30-sec CV upload.

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AI cover letter

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Letter preview — tailored to Michael Page Technology

Dear Hiring Manager,

Your Senior Data Planner position perfectly aligns with my expertise in enterprise data strategy and third-party vendor management. Having led external data sourcing initiatives and managed complex vendor relationships, I understand the critical balance between technical fit and commercial value that this public sector role demands.

My background in data integration patterns and enterprise platform management has equipped me to assess external datasets for technical compatibility, scalability, and governance compliance. I have successfully built business cases for data acquisitions, managed end-to-end vendor relationships, and ensured regulatory adherence across multiple data partnerships.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you assess whether an external dataset is technically fit for purpose in an enterprise environment?
  • Describe your approach to evaluating data integration patterns for third-party data sources
  • What factors do you consider when building a business case for acquiring external data?
  • How do you ensure compliance with data governance standards when onboarding external data providers?
  • Explain your process for managing data lineage and provenance for third-party datasets

Behavioural

  • Tell me about a time you had to manage a challenging relationship with a data vendor
  • Describe a situation where you had to translate complex technical requirements to non-technical stakeholders
  • Give an example of when you identified value in external data that others had overlooked
  • Tell me about a time you had to resolve a significant issue with a data supplier
  • Describe how you've handled competing priorities when managing multiple vendor relationships
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to manage a challenging relationship with a data vendor

When our primary financial data vendor experienced a 3-week service outage affecting 12 critical dashboards, I immediately activated our contingency plan. I coordinated daily calls with their technical team, escalated through their account management hierarchy, and simultaneously sourced alternative data feeds from 2 backup providers. I documented all service level breaches and negotiated a 25% credit on our annual contract worth £180,000. The situation taught me the importance of robust vendor SLAs and backup data strategies, which I now build into every vendor relationship from day one.
2Question

Describe a situation where you had to translate complex technical requirements to non-technical stakeholders

Our marketing team requested customer sentiment data from social media platforms, but didn't understand the technical complexities of real-time data ingestion. I created a visual presentation showing how their 'simple request' would impact our data architecture, requiring 4 new API connections and additional storage capacity costing £45,000 annually. I presented 3 options with different technical approaches and cost implications, helping them understand that batch processing could meet 80% of their needs at 30% of the cost. They chose the hybrid approach, and we delivered the solution 2 weeks ahead of schedule.

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