Expert Product Manager

Job Title:      Expert Product Manager
Location:      Hybrid and Malvern PA
Duration:      3 month+
Interview:      Video

Job Description:
8+ Years

Must have Financial experience

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 (for senior leadership CX Metrics), 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 team''s "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 CX Metrics 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 CX Metrics (& respective SQL code)
to ensure optimal data quality & data governance practices.

Qualifications Overall:
• 10+ years related business experience

• 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.