Leads the strategic vision and roadmap for a technical product or products with cross-divisional impact, demonstrating a deep understanding of the product(s) and associated business areas. Products often have enterprise-wide implications.

Overall Description:

• (75%) Manages technical strategy (& implementation) for Client Experience data products (both client feedback survey data & non-survey data) and owns Data Dependency monitoring/alerts ecosystem, in partnership with technical, analytics, and product owner stakeholders across the division.

• (25%) Manages analytics data (including SQL code for senior leadership OKRs), and ensures data quality and data governance standards are achieved and communicated, supporting analytics stakeholders across the division

Technical Responsibilities:

• Leads development and implementation of new technical cross-divisional products

• Influences and collaborates, across cross-functional technical teams, to optimize data quality and data governance ecosystem.

• Drives connections across data products / capabilities (data capture, analytics, reporting, engineering, operations, SQL management, etc.).

• Builds (& leads) the teams Data Dependency program (including documentation, monitoring capabilities, alert functionalities, technical process maps), and required communications plans

Analytics Responsibilities:

• Engages with internal analytics partners to understand business strategy, objectives, and KPIs.

• Leads Monthly Data QA (ensuring key metrics across multiple data ecosystems match), annual SQL code optimization initiatives, regular ROI analyses, regular impact analyses, and ongoing partnerships with other analysts to continuously enhance all of the above

• Manages a series of senior leadership OKR Metrics (& respective SQL code) to ensure optimal data quality & data governance practices

What we're looking for:

• Strong communication skills

• Strong strategy experience

• Client Experience (CX) background

• Financial Industry background

• Technical Knowledge:

• Data Engineering, Data Quality, Data Lineage, Data Governance, Metadata Documentation, Technical Process Maps, Data Dependency Identification/Mapping, Data Architecture.

• Analytics Knowledge: SQL, Python, Power BI, Tableau, AWS S3 Tables, Github, running formal Experiments and ROI analyses.

Qualifications:

• Undergraduate degree or equivalent combination of training and experience required. Graduate degree preferred.

• Minimum of eight years related business experience. Three years of leading large cross-functional teams on major organizational projects preferred.