DescriptionData & BI for Finance Data & Insights (FDI) within Home Lending leads the strategy delivery and governance of data and analytics capabilities that transform how HL reports and analyzes financial performance. You will own the endtoend lifecycle of Data productsdefining data domains and sourcing authoritative data; building resilient models pipelines and semantic layers; delivering scalable dashboards; and enabling selfservice analytics. Partnering with Finance Technology and Operations the role modernizes the reporting infrastructure standardizes visualization and storytelling practices and drives adoption across stakeholder groups. The VP establishes and monitors KPIs for data quality timeliness and user engagement; ensures controls lineage and metadata are maintained; and proactively resolves data issues. They manage and develop a highperforming team prioritize a roadmap aligned to CFO and senior leadership objectives and translate complex analysis into clear narratives that inform strategy and execution.
Responsibilities:
- Define and drive the data & BI strategy roadmap and operating model for the team
- Lead delivery of enterprise-grade analytics: curated data sets dashboards self-service BI and automated reporting
- Oversee data modeling pipeline development and orchestration across batch and streaming workloads
- Establish and enforce data governance quality lineage and access controls in partnership with Risk & Controls
- Partner with business stakeholders to translate requirements into scalable reusable solutions
- Manage a high-performing team; recruit coach and promote a culture of accountability and continuous improvement
- Own program governance: budgets vendor management OKRs release planning and stakeholder communications
- Drive platform modernization and cost optimization across cloud and on-prem environments
Required Qualifications Capabilities and Skills
- 10 years in data engineering analytics or BI; 5 years leading teams and programs
- Expert SQL; proficiency in Python ; strong data warehousing and dimensional modeling
- Hands-on with ETL/ELT and orchestration
- Experience with BI tools (e.g. Tableau ThoughtSpot) and semantic layer design
- Knowledge of cloud data platforms (e.g. AWS/GCP/Azure Snowflake BigQuery Redshift Databricks)
- Strong stakeholder management communication and roadmap ownership experience
- Proven track record delivering secure auditable resilient data solutions at scale
- Ability to collaborate and work as a team.
- Problem solver and solution oriented. Strong written and verbal communication skills
- Jira and Agile practices
Required Experience:
Exec
DescriptionData & BI for Finance Data & Insights (FDI) within Home Lending leads the strategy delivery and governance of data and analytics capabilities that transform how HL reports and analyzes financial performance. You will own the endtoend lifecycle of Data productsdefining data domains and sou...
DescriptionData & BI for Finance Data & Insights (FDI) within Home Lending leads the strategy delivery and governance of data and analytics capabilities that transform how HL reports and analyzes financial performance. You will own the endtoend lifecycle of Data productsdefining data domains and sourcing authoritative data; building resilient models pipelines and semantic layers; delivering scalable dashboards; and enabling selfservice analytics. Partnering with Finance Technology and Operations the role modernizes the reporting infrastructure standardizes visualization and storytelling practices and drives adoption across stakeholder groups. The VP establishes and monitors KPIs for data quality timeliness and user engagement; ensures controls lineage and metadata are maintained; and proactively resolves data issues. They manage and develop a highperforming team prioritize a roadmap aligned to CFO and senior leadership objectives and translate complex analysis into clear narratives that inform strategy and execution.
Responsibilities:
- Define and drive the data & BI strategy roadmap and operating model for the team
- Lead delivery of enterprise-grade analytics: curated data sets dashboards self-service BI and automated reporting
- Oversee data modeling pipeline development and orchestration across batch and streaming workloads
- Establish and enforce data governance quality lineage and access controls in partnership with Risk & Controls
- Partner with business stakeholders to translate requirements into scalable reusable solutions
- Manage a high-performing team; recruit coach and promote a culture of accountability and continuous improvement
- Own program governance: budgets vendor management OKRs release planning and stakeholder communications
- Drive platform modernization and cost optimization across cloud and on-prem environments
Required Qualifications Capabilities and Skills
- 10 years in data engineering analytics or BI; 5 years leading teams and programs
- Expert SQL; proficiency in Python ; strong data warehousing and dimensional modeling
- Hands-on with ETL/ELT and orchestration
- Experience with BI tools (e.g. Tableau ThoughtSpot) and semantic layer design
- Knowledge of cloud data platforms (e.g. AWS/GCP/Azure Snowflake BigQuery Redshift Databricks)
- Strong stakeholder management communication and roadmap ownership experience
- Proven track record delivering secure auditable resilient data solutions at scale
- Ability to collaborate and work as a team.
- Problem solver and solution oriented. Strong written and verbal communication skills
- Jira and Agile practices
Required Experience:
Exec
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