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Data & Insights Leader
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Data & Insights Leader
Manpowergroup Services India Private LimitedEarly Applicant
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Job Description
Data Insights Leader
The Data Insights Leader will spearhead the organization's data strategy, driving the design, implementation, and optimization of Lakehouse and Enterprise Data Warehouse (EDW) solutions across cloud platforms. This role will lead cross‑functional data engineering, BI, advanced analytics, and AI/ML initiatives, ensuring robust data governance, quality, privacy, and compliance. The leader will architect data migration and warehousing projects, develop analytics programmes, and establish Centers of Excellence (COEs) and shared platforms to empower data‑driven decision making throughout the enterprise.
Responsibilities
- Develop and execute a comprehensive data strategy that aligns with business objectives and supports Lakehouse and EDW architectures.
- Lead the design, deployment, and maintenance of cloud‑based data engineering pipelines, BI dashboards, and advanced analytics solutions.
- Champion data governance, quality, privacy, and compliance initiatives, ensuring adherence to industry standards and regulatory requirements.
- Oversee data migration, warehousing, and integration projects, ensuring seamless data flow across systems.
- Establish and nurture analytics programmes, pods, and COEs to foster a culture of data excellence and innovation.
- Collaborate with stakeholders across business units to translate analytical insights into actionable strategies.
- Provide visionary leadership, mentoring, and coaching to data teams, promoting continuous improvement and professional growth.
Requirements
- 10 to 20 years of progressive experience in data strategy, engineering, and analytics.
- Deep expertise in Lakehouse, Enterprise Data Warehouse (EDW), and cloud platforms.
- Proficiency in data engineering, BI, advanced analytics, and AI/ML technologies.
- Strong background in data governance, data quality, data privacy, and data compliance.
- Experience with data architecture, data migration, and data warehousing.
- Demonstrated ability to lead analytics programmes, pods, COEs, and shared platforms.
- Excellent leadership, communication, and stakeholder management skills.
