Client Experience Technical Product Owner

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 & no n -survey data) and owns Data Dependency monitoring/alerts ecosystem, in partnership with technical, analytics, and product owner stakeholders across the division.

• (25%) M anages 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

• Leads development and implementation of new technical cross-divisional product s

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

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

• Build s (& lead s ) the team's "D ata D ependenc y" program (including documentation, monitoring capabilities, alert functionalities, technical process maps), and required communications plans

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

• Leads "M onthly Data QA " ( ensuring key metrics across multiple data ecosystems match ) , annual S QL code optimization initiatives , regular ROI analyses, regular impact analyses, and ongoing partner s hips with other analysts to continuously enhance all of the above

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

• Strong communication skills

• Strong s trategy experience

• Client Experience (CX) background

• Financial Industry background

• Technical Knowledge :

• Data Engineering, Data Quality, D ata L ineage, D ata G overnance, M etadata D ocumentation, T echnical P rocess M aps, Data D ependency I dentification / M apping , Data Architecture .

• Analytics Knowledge : SQL , Python, Power BI, Tableau, A WS S 3 Tables , Github , running formal Experiments and ROI analys e s.

• 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.