Job Summary:
Retail Customer Intelligence (RCI) exists to make that ttb's mission improve our customers life-long financial well-being real by transforming customer and business data into actionable insights and scalable data products that teams can trust and use every day. In this role, you'll lead data engineering delivery end-to-end by aligning stakeholders, building automated pipelines, and enabling self-service analytics on Databricks (or similar) so decision-making becomes faster, safer, and more consistent. You'll be a force multiplier: strengthening the platform, raising engineering standards, and helping the bank shift from request-and-report to reusable data products at scale.
Job Description:
- Lead and mentor a team of data engineers, setting standards for delivery, quality, and operational excellence.
- Own cross-functional requirement discovery and prioritization across marketing/customer segments, finance, sales management, strategy, analytics, CRM, warehouse/MIS, and governance.
- Drive end-to-end project delivery (scope, milestones, risks, dependencies, communications) with clear outcomes and predictable timelines.
- Translate business needs into scalable data models, curated datasets, and reusable pipeline components.
- Design, build, and operate robust batch/near-real-time pipelines with strong reliability, monitoring, and SLAs.
- Build tools and workflows to automate recurring processes (e.g., reconciliations, validations, refreshes), reducing manual effort and cycle time.
- Enable data self-service using Databricks (or similar): certified datasets, notebooks/templates, and governed access patterns for analysts and business users.
- Partner with BI/analytics teams to ensure datasets are analysis-ready and performant for dashboards and reporting.
- Implement data quality controls (tests, anomaly detection, lineage/metadata practices) to improve accuracy and trust.
- Embed governance-by-design: secure handling of sensitive customer data, access control, auditability, and compliance alignment.
- Continuously improve performance and cost efficiency in collaboration with platform/warehouse and infrastructure teams.
Qualifications:
- Bachelor's or Master's degree in STEM (Computer Science, Engineering, Data/Analytics, or related).
- 7–10 years of relevant experience in data engineering and/or data platform delivery.
- 5+ years overseeing team members (people leadership or lead role with coaching responsibility).
- Proven ability to build production-grade ETL pipelines with orchestration, scheduling, and dependency management.
- Hands-on experience with Big Data Platform e.g. Databricks (or equivalent lakehouse platform) and Business Intelligence Tools e.g. PowerBI,Power Query, Tableau for data engineering and self-service enablement.
- Advanced SQL plus solid programming/scripting (e.g., Python) to build automation tools and reusable frameworks.
- Strong project/stakeholder leadership - able to influence across business and technology without relying on authority.
- Experience improving reliability: monitoring/alerting, data observability, runbooks, and incident/problem management.
- Ability to design scalable analytics-ready data models for customer, product, channel, and campaign domains.
- Proactive ownership mindset; comfortable navigating ambiguity and driving pragmatic trade-offs.
- Strong understanding of retail banking products (deposits, cards, loans, wealth, revenue/cost drivers ,customer privilege programs).
- Experience operating in regulated environments (data governance, privacy, security controls, audit readiness).
Why Join Us:
- Work directly on the data foundation that enables smarter customer decisions - driving better experiences, fairer outcomes, and measurable productivity gains.
- Lead with ownership and visibility: influence how customer data products are built, governed, and adopted across the bank.
- Solve complex, meaningful problems at enterprise scale with diverse senior stakeholders.
- Grow your leadership and platform engineering skills while staying hands-on with modern data practices.
- Be part of a team that turns customer understanding into practical actions - faster, safer, and more consistent.
