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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data analyticsdata product leadershipcloud modernizationdata governancedata qualitymachine learningadvanced analyticsdata engineeringETLdata science
Soft Skills
executive communicationstrategic mindsetprioritizationinfluencedecision-makingaccountabilitycontinuous improvementdata-driven decision-makingrisk managementcollaboration
Tools & Technologies
AzureAWSDatabricksSnowflakeSQLPythonTableauPower BISASAlteryx
Industry Keywords
financial servicesConsumer Bankingdata-as-a-productanalytics enablementdata democratizationdata literacyservice levelslifecycle managementquality by designenterprise data adoption
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSQLTableau
About the role
Key responsibilities & impact- Define and lead the multi-year DPP strategy and roadmap across platforms, data products, and analytics enablement
- Mature and scale a data-as-a-product model, including ownership, lifecycle management, SLAs, and adoption
- Align analytics investments to business priorities, long-term value creation, and financial performance
- Own end-to-end analytics platform operations (availability, performance, security, and cost)
- Lead cloud modernization and reduce legacy dependency and technical debt
- Enable secure, governed deployment of AI/ML and advanced analytics capabilities
- Deliver and scale reusable, curated “gold” data products with clear ownership, quality standards, and service levels
- Partner with business leaders to identify and prioritize high-impact analytics use cases
- Translate data into actionable insights that drive measurable business outcomes
- Operationalize governance and “quality by design” across data ecosystems (access, stewardship, controls)
- Advance capabilities in data quality, observability, metadata, and lineage
- Ensure compliance, reliability, and trust in enterprise analytics environments
- Serve as a strategic advisor to senior business leaders on analytics, insights, and data-driven decision-making
- Build deep understanding of line-of-business goals, identifying risks and opportunities
- Communicate executive-ready updates, clearly articulating tradeoffs, risks, and dependencies
- Drive platform reliability, monitoring, incident response, and service excellence
- Drive enterprise adoption of self-service analytics, data democratization, and data literacy
- Ensure platforms and products are usable, scalable, and broadly adopted—not just delivered
- Build, lead, and develop high-performing teams across data engineering, analytics, and BI
- Foster a culture of accountability, continuous improvement, and data-driven decision-making
- Oversee external partners and vendors to ensure delivery against strategic outcomes
Requirements
What you’ll need- Bachelor’s degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Finance, or related)
- 12+ years of relevant experience in business insights and data analytics
- Master’s degree in Data Analytics, Business, Finance, Economics, or a related quantitative field (preferred)
- 15+ years of experience in data analytics, platforms, or data product leadership, including senior leadership experience (preferred)
- Experience within Consumer and Business Banking or financial services (preferred)
- Proven success leading enterprise data platform and cloud modernization initiatives (preferred)
- Experience establishing and scaling data product operating models (ownership, SLAs, lifecycle) (preferred)
- Demonstrated ability to partner with senior executives and influence business strategy through data and analytics (preferred)
- Strong executive communication skills with a focus on clarity, decision-making, and impact (preferred)
- Strategic mindset with strengths in prioritization, tradeoff management, and value creation (preferred)
- Track record of driving enterprise data adoption and culture transformation (preferred)
- Experience with modern cloud and analytics platforms (e.g., Azure, AWS, Databricks, Snowflake) (preferred)
- Proficiency in analytics and BI tools (e.g., SQL, Python, Tableau, Power BI, SAS, Alteryx) (preferred)
- Strong understanding of data engineering concepts (ETL/ELT, pipelines, orchestration, cloud migration) (preferred)
- Experience applying advanced analytics, machine learning, and data science techniques (preferred)
- Expertise in data governance, data quality, and metadata/lineage practices, including supporting tools at scale (preferred)
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law