Senior Director, Data Platform & AI Solutions

RXinsider LTD.; Pittsburgh (Allegheny County); On-site; USD 189,000 - 265,000; Full time

Job summary

OmniSphere is seeking a Senior Director of Product Management – Data Solutions to define and lead the product vision for the Shared Data Platform, Analytics, AI Intelligence, and Agentic Experience. This role drives platform-level investments and cross‑functional execution across data, analytics, and AI domains.

You will mentor senior product managers, partner with engineering, clinical and commercial leaders, and align product strategy with enterprise value, governance, and trust in data.

Qualifications

• Demonstrated experience building and scaling data platforms, analytics products, and AI-enabled systems in complex enterprise environments.

Responsibilities

• Own and evolve the multi-year product vision and roadmap for OmniSphere’s data platform, analytics, AI, and agentic experience layers.
• Translate customer and business outcomes into platform-level product investments.
• Provide executive product leadership for OmniSphere’s shared data foundation, including data ingestion, normalization, contextualization, and governance.
• Drive the transition from descriptive reporting to prescriptive and predictive analytics that connect insights to workflows and actions.
• Set product direction for OmniSphere’s AI Intelligence Layer, including model access, orchestration, and reusable intelligence services.

Skills

Data platforms

Analytics products

AI-enabled systems

Senior leadership

P&L management

Cross-functional leadership

Regulated environments

Strategic thinking

Product discovery

Job description

OmniSphere is seeking a Senior Director of Product Management – Data Solutions to define and lead the product vision for the Shared Data Platform, Analytics, AI Intelligence, and Agentic Experience. This role drives platform-level investments and cross‑functional execution across data, analytics, and AI domains.

You will mentor senior product managers, partner with engineering, clinical and commercial leaders, and align product strategy with enterprise value, governance, and trust in data.