The Value Maximizer · 20 hours ago
Data Consultant
Pennsylvania, United States
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expThe Value Maximizer is seeking a Data Consultant with strong banking domain expertise to translate business problems in banking and financial services into data-driven solutions. The role involves working closely with senior stakeholders and product teams to lead data-driven consulting engagements and deliver analytics solutions.
Information Technology & Services
Responsibilities
Partner with business and client stakeholders to understand banking use cases across Retail Banking, Wealth Management, Risk, Compliance, or Capital Markets
Lead data-driven consulting engagements, including problem definition, solution design, and value realization
Translate business requirements into analytics, reporting, and data platform requirements
Work with data engineering and analytics teams to deliver end-to-end solutions
Develop business cases, decks, and executive-ready insights for leadership and client presentations
Support data strategy initiatives including data governance, quality, lineage, and operating models
Drive adoption of analytics solutions by aligning them to business KPIs and outcomes
Qualification
Required
10+ years of overall experience with strong exposure to Banking / Financial Services
Prior experience in consulting firms or consulting roles (Big 4, Tier-1/Tier-2 consulting, or internal consulting teams)
Strong understanding of banking functions such as Wealth Management, Retail Banking, Risk & Compliance, AML, Reporting, or Data Governance
Hands-on experience working with data platforms, analytics solutions, and BI tools
Ability to communicate complex data concepts to non-technical stakeholders
Strong documentation, storytelling, and stakeholder management skills
Preferred
Exposure to cloud data platforms (AWS, Azure, GCP)
Knowledge of regulatory reporting and data controls
Experience with Agile delivery models
Company
The Value Maximizer
At The Value Maximizer, we empower businesses to unlock their full potential through cutting-edge AI-based platforms.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase