Analytics Solutions Manager - Vice Presudent

Job Summary

You enjoy turning complex business needs into clear, scalable analytics solutions that improve how teams make decisions.

As an Analytics Solutions Manager - Vice President within our Lending Product organization, you will lead the delivery of analytics and data products that power product strategy, operational excellence, and risk-informed growth.

You will partner closely with product, technology, and risk stakeholders to define key metrics, build trusted datasets, and enable self-service insights.

You bring a strong blend of hands-on technical depth and stakeholder leadership, ensuring solutions are scalable, well-governed, and measurable in impact.

Job Responsibilities


* Define and execute the analytics roadmap for lending products, aligning to business priorities and measurable outcomes.


* Translate product and operational goals into well-defined metrics, reporting, and analytics requirements.


* Lead design and architecture review of curated datasets (data products) that enable consistent KPIs across teams and channels.


* Partner with product and technology teams to build and maintain reliable data pipelines, data quality controls, and observability.


* Build scalable dashboards and executive-ready insights that drive action across product, sales, and operations.


* Establish best practices for metric definitions, experimentation/measurement, and performance tracking.


* Apply advanced analytics (segmentation, propensity, forecasting, optimization) to drive growth and efficiency.


* Ensure analytics solutions meet governance, privacy, and information security standards; document lineage and controls.


* Influence cross-functional decisions through clear storytelling, trade-off framing, and strong executive presence.


* Mentor analysts/engineers (directly or through matrix leadership) and raise the technical bar for deliverables.


* Manage delivery from concept to launch, including stakeholder alignment, release readiness, and post-launch adoption.

Required Qualifications, Capabilities, and Skills


* 7+ years of experience delivering analytics and data solutions in a product, technology, or financial services environment.


* Strong hands-on expertise in SQL, Java and Python for data analysis, transformation, and automation.


* Experience with RDMS - Aurora Postgres, Oracle or Redshift and modern data platforms (data lake/warehouse concepts).


* Experience with data modeling (dimensional/semantic layers), metric standardization, and KPI governance.


* Proficiency with BI/visualization tools (e.g., Tableau, Power BI, or equivalent) and executive dashboards.


* Experience integrating data from multiple systems using APIs, events (Kafka), or batch ingestion patterns.


* Strong understanding of software delivery practices: version control (Git), testing, documentation, and CI/CD concepts.


* Ability to lead in a matrixed environment-driving alignment ac...