Data Maturity & Analytics Lead at Thakral One

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

30 Jun, 26

Salary

0.0

Posted On

01 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Maturity Assessment, Data Quality, Data Architecture, Analytics, Stakeholder Engagement, SQL, Python, Excel, Business Intelligence, Data Management, Data Frameworks, Reporting, Data Ecosystems, Data Validation, Technical Guidance, Cross-functional Coordination

Industry

IT Services and IT Consulting

Description

Data Maturity Assessment & Analytics Lead Role Purpose The Data Maturity Assessment & Analytics Lead will spearhead an enterprise-wide Data Maturity Assessment and Roadmap Development initiative, serving as the primary driver in evaluating the organization’s current data capabilities and defining a strategic transformation roadmap. This is a highly hands-on consulting role requiring a versatile professional who can operate across multiple domains—ranging from data quality and architecture to analytics and stakeholder advisory. The role demands both strategic thinking and execution capability, with a strong focus on translating assessment findings into actionable, business-aligned data initiatives. Key Responsibilities 1. Data Maturity Assessment & Roadmap Development (Core Focus) Lead and execute comprehensive enterprise-wide data maturity assessments using established frameworks (e.g., DAMA-DMBOK). Define current-state vs. target-state data capabilities across data quality, architecture, and analytics domains. Develop and drive a multi-year data maturity roadmap, including prioritized initiatives, timelines, and measurable outcomes. Provide strategic recommendations to elevate organizational data maturity aligned with business objectives. 2. Data Management & Quality Establish data management best practices to support consistency and usability of enterprise data. Define and implement data quality frameworks, metrics, and monitoring processes. Lead initiatives to improve data accuracy, completeness, and reliability. 3. Business Intelligence & Analytics Enablement Support the enablement of reporting and analytics capabilities across the organization. Collaborate with analytics teams to ensure data is structured and accessible for insights generation. 4. Data Architecture & Advisory Provide guidance on enterprise data architecture, including data models, integration, and platforms. Advise on best practices for scalable and sustainable data ecosystems. 5. Hands-on Validation & Technical Guidance Perform hands-on validation of data initiatives, ensuring alignment with defined standards. Utilize tools such as SQL, Python, Excel, and BI platforms for analysis and validation work. 6. Stakeholder Engagement & Advisory Act as a trusted advisor to both technical and business stakeholders, including senior executives. Translate complex data concepts into actionable insights for non-technical audiences. Influence decision-making and drive alignment across diverse stakeholder groups. 7. Oversight & Cross-functional Coordination Coordinate with cross-functional teams such as Data Analytics, Engineering, and Business Units. Ensure alignment and integration of data initiatives across the organization. Qualifications Experience Minimum 10+ years of experience in Data & Analytics, with a strong consulting background. Proven experience in data maturity assessment and roadmap development is highly preferred. Alternatively, strong experience across data management, data quality, analytics, and architecture is required. Experience handling large-scale datasets in industries such as Telecommunications, FMCG, Banking, or IT Consulting. Technical Skills Proficiency in SQL, Python, and Advanced Excel. Experience with Power BI or similar business intelligence tools. Strong understanding of data management frameworks such as DAMA-DMBOK. Education Bachelor’s degree is required Master’s degree is required

Responsibilities

The Data Maturity Assessment & Analytics Lead will lead enterprise-wide data maturity assessments and develop a strategic roadmap for data capabilities. This role involves establishing data management best practices, enabling analytics capabilities, and providing guidance on data architecture.