Work as technical manager to oversee the team and ensure smooth collaboration amongst them.
Build and grow the team: Hire top technical talent and focus on their continued learning and upskilling as needed. As the team remit expands, bring the relevant talent into the team.
Guide team of individual contributors by reviewing their deliverables.
Periodic interaction with all partners to collect feedback about India team and share ground details with them to have better understanding about India team.
Ensure teams understand how operational/servicing process map into data models.
Establish culture of creating solutions using the customer lens by analyzing data patterns and identifying root causes for variations/anomalies proactively
Set up appropriate SLAs and validation procedures to ensure accuracy of the work being delivered.
Review data quality work from all critical aspects and help them stitch and fine tune their value stories and business recommendations/remediations.
Required Qualifications:
13+ years of relevant work experience in Data Engineering and Management projects with knowledge of business analysis, Data Quality, Governance and Remediation.
3+ years of experience of leading teams in global delivery model with 5+ members.
Engineering Graduate/ Post-graduate from a reputed institution.
Understanding of home lending product lifecycle is key.
Hands on experience of working with Teradata SQL and any ETL.
Data Quality: Experience to perform statistical data analysis, build hypothesis, draw conclusions, and communicate clear, actionable recommendation to business leaders & partners.
Simple work documentation skills. Requirements, query documentation, testing.
Detail oriented. Accuracy is key.
Consultative skills: Ability to rationalize business need and solution design from people not knowing how to ask precisely for what they need.
Strong written and verbal communication, presentation, and inter-personal skills.
Ability to interact with integrity and a high level of professionalism with all levels of team members and management.
Desired Qualifications:
Good to have certifications in Data Management, Data Engineering tools.
Domain understanding of WFHL products and process lifecycle (Originations, Servicing, Default Operations, Risk) will be an added advantage.
Strong command using SQL for data gathering and analysis.
Prior experience of working on complex projects sourcing data from multiple sources using ETL and/or SQL
Strong understanding of business drivers and industry trends of lending products & home lending in specific.
Proven ability to be successfully deliver robust solutions in a fast-paced environment.
Proven ability to ensure analytic rigor for all work products.
Expected to learn the business aspects quickly, multitask and prioritize between projects.
Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.