About talentnexus
At talentnexus, we’re redefining the future of data‑driven marketing and customer experience. Our mission is to empower brands worldwide with actionable insights that turn data into growth. Leveraging cutting‑edge cloud technologies, advanced analytics, and a culture of continuous innovation, talentnexus is a global leader in delivering real‑time, high‑volume data solutions to the most demanding industries. Whether you’re a seasoned data professional or an emerging analytics enthusiast, you’ll find a place where curiosity is rewarded, collaboration is celebrated, and impact is measurable.
Why This Role Matters
As the Senior Manager of Customer & Performance Data Solutions, you will be the catalyst that transforms raw data into strategic advantage. You will lead a high‑performing team of data engineers and QA specialists, architect end‑to‑end data pipelines, and partner with marketing, product, and executive stakeholders to unlock the full potential of our data ecosystem. Your leadership will shape talentnexus’s data strategy, drive operational excellence, and accelerate the delivery of insights that power marketing decisions across the globe.
Key Responsibilities
Leadership & Team Management
- Lead, mentor, and inspire a cross‑functional team of data engineers, data scientists, and QA specialists.
- Define clear performance metrics, conduct regular coaching sessions, and foster a culture of continuous learning and accountability.
- Collaborate with HR and Talent Acquisition to attract, onboard, and retain top talent in a competitive market.
- Champion diversity, equity, and inclusion initiatives within the team, ensuring a welcoming environment for all voices.
Data Strategy & Planning
- Develop and execute a comprehensive data ingestion, enrichment, and utilization strategy aligned with talentnexus’s business objectives.
- Partner with product, marketing, and analytics leaders to identify data needs, prioritize initiatives, and translate business requirements into technical specifications.
- Serve as the subject‑matter expert on data availability, governance, and best practices across the organization.
- Maintain a forward‑looking roadmap that incorporates emerging technologies such as real‑time streaming, AI‑driven data augmentation, and cloud‑native data lakes.
Data Management & Architecture
- Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and load data from diverse sources into cloud data warehouses and lakes.
- Ensure data quality, integrity, and security through rigorous validation, monitoring, and automated testing frameworks.
- Implement robust metadata management, data cataloging, and lineage tracking to support data discoverability and compliance.
- Collaborate with security and compliance teams to enforce data protection standards and regulatory requirements.