Technology Obsolescence - Task force - Data Specialist (VP1)

WhiteCrow Research


Date: 13 hours ago
City: Remote
Contract type: Full time
Remote

About WhiteCrow


We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house talent acquisition teams.


About our client


Our Client operates in the Financial Services Industry, with its headquarters rooted strongly in Singapore. It has its branches spread to more than 15 countries, providing employment to more than 25,000 people all over the world. They fall in the Forbes Global 2000 (2022). Their core business is to offer financial services to its clients, ranging from Investment Banking to Corporate as well as Personal Banking Services.. They are also well known for their Residential Home Loan Business.


As a Technology Obsolescence - Task force - Data Specialist (VP1), you will be responsible for:


Data Collection & Integration:

  • Collecting and consolidating data from multiple sources, including:
  • CMDB platforms (e.g., Remedy)
  • IT Asset Management (ITAM) systems
  • Vendor lifecycle and support data
  • Security, vulnerability, and patching sources
  • Ensuring data consistency and alignment across asset, configuration, and lifecycle repositories.
  • Validating data accuracy, completeness, and currency.


Technology Obsolescence Analysis:

  • Identifying EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services.
  • Analyzing lifecycle risks by technology type, vendor, business unit, and criticality.
  • Supporting the prioritization of remediation based on risk, business impact, and exposure.


Reporting & Dashboarding:

  • Designing, developing, and maintaining interactive dashboards and reports using Power BI / Tableau.


Creating Standard Views Covering:

  • Developing obsolescence risk heatmaps.
  • Creating aging and lifecycle timelines.
  • Tracking remediation progress and trends.
  • Monitoring compliance and audit-ready metrics.
  • Enabling self-service analytics for stakeholders where appropriate.


CMDB & Asset Management Support:

  • Supporting the alignment of CMDB data with actual deployed assets.
  • Identifying gaps, redundancies, and inaccuracies in configuration and asset records.
  • Driving improvements in asset lifecycle tagging, ownership, and criticality classification.
  • Collaborating with ITSM, ITAM, and platform teams to improve data quality and governance.


Stakeholder & Decision Support:

  • Providing insights and analysis to:
  • Domain leads and task force leads
  • Project managers and delivery teams
  • Risk, security, and audit stakeholders
  • Translating complex data into clear, actionable insights for non-technical audiences.
  • Supporting business case development and roadmap planning with data evidence.


Data Governance & Continuous Improvement:

  • Defining and documenting data definitions, metrics, and reporting standards.
  • Automating data refreshes and reporting pipelines wherever possible.
  • Identifying opportunities to improve lifecycle visibility and predictive risk analysis.


What you already have...


  • 5–8+ years of experience in a data analyst or reporting role within IT or technology functions
  • Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage
  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field
  • Power BI or Tableau certification
  • ITIL or IT Asset Management certification is a plus
  • Data & Analytics Skills
  • Strong experience in data analysis and visualization
  • Hands on expertise in:
  • Power BI (DAX, data modeling, performance optimization)
  • Tableau (dashboards, calculated fields, storytelling)
  • Strong SQL skills for querying large datasets
  • Experience working with structured and semi structured data

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