Senior Director, Product Management

MRI SoftwareCleveland, OH
Remote

About The Position

We are seeking a Director of Product & Engineering to lead our Data & AI Platforms portfolio, owning end-to-end strategy, architecture, roadmap, and execution for a modern, scalable, and AI-enabled data ecosystem. This leader will transform fragmented data and technology capabilities into a unified, global platform that enables analytics, automation, AI-powered workflows, and ecosystem integration. You will lead Engineering teams and partner closely with Design, GTM, and Customer teams to deliver measurable customer and commercial outcomes while operating at both strategic and hands-on execution depth. This role includes building and leading a high-performing, globally distributed organization of Product Managers and Engineering leaders, and establishing consistent product and engineering operating standards across regions.

Requirements

  • 10+ years in Product Management and/or Engineering leadership, including management of Product Managers and technical teams
  • Experience owning multi-product SaaS or platform portfolios
  • Proven ability to operate and influence at the executive level
  • Strong experience with platform product models and ecosystem thinking
  • Building data and analytics platforms (data lakes, data warehouses, semantic models, pipelines, reporting)
  • Strong understanding of APIs, integrations, and platform extensibility
  • Practical experience applying AI/ML, LLM-based capabilities, RAG systems, and agentic AI in products
  • Understanding of data governance, semantic models, real-time data, and integration patterns
  • Track record of delivering complex, scalable SaaS products
  • Strong data-driven decision making and product metrics orientation
  • Experience working across global, distributed teams
  • Experience driving product growth, adoption, and monetization
  • Ability to develop business cases, pricing strategies, and ROI models
  • Strong understanding of modern architectures: SaaS platforms, microservices, APIs
  • Cloud platforms such as Azure (preferred), AWS, or GCP, including data platforms, compute, and distributed systems
  • Data pipelines, data warehouses, and CI/CD
  • Clear, direct communicator with strong executive presence
  • Ability to influence across competing priorities and stakeholders
  • Strong collaboration and cross-functional leadership skills
  • Bachelor’s degree required; Master’s degree preferred in Computer Science, Engineering, Data Science, or a related field
  • Systems thinker who sees platforms, not point solutions
  • Bias toward action, outcomes, and measurable impact
  • Comfortable with ambiguity, scale, and transformation
  • Ability to simplify complex problems into actionable strategy
  • Raises the bar, delivers results, and develops strong teams

Nice To Haves

  • Experience with Microsoft Fabric, Snowflake, or Databricks is a strong plus
  • Comfortable engaging in product architecture and technical trade-offs

Responsibilities

  • Define and drive the Data & AI platform strategy, aligned to company and product vision
  • Translate business goals into roadmaps tied to measurable outcomes (adoption, revenue, retention)
  • Establish a unified data and AI platform, leading the delivery of models, workflows, and capabilities across analytics, APIs, integrations, and AI services
  • Rationalize fragmented capabilities into a scalable, reusable platform model
  • Partner to drive technology unification and synergy strategies across regions, time zones, and global workforce environments
  • Build and evolve core platform capabilities including: Data ingestion, pipelines (ETL/ELT), and real-time streaming APIs, integration frameworks, and partner extensibility
  • Data models, governance, and metadata/lineage
  • Analytics, reporting, and reusable data products
  • Define and execute API and ecosystem strategy, including partner monetization and platform access models
  • Define and operationalize standardized data packages and distribution models to support global consumption and regional needs
  • Identify and deliver AI use cases embedded into core workflows (not bolt-ons)
  • Leverage LLMs, RAG architectures, and agentic AI patterns to improve customer outcomes and internal efficiency
  • Define and scale AI platform capabilities, including model lifecycle, RAG systems, agent orchestration, data pipelines, and governance
  • Drive Engineering execution of AI platform services and AI-assisted development practices
  • Drive high-quality, predictable execution across multiple teams, regions, and time zones
  • Define and evolve the product and engineering operating model, including team topology, platform vs. product boundaries, and delivery ownership
  • Implement outcome-driven product and engineering practices across data, AI, and platform workstreams
  • Ensure consistent delivery standards, tooling, and metrics across teams
  • Own and standardize the global inventory, packaging, and delivery of data products, ensuring consistent, scalable, and reliable access across regions, time zones, and customer segments
  • Remove blockers and drive accountability for results
  • Maintain deep understanding of customer needs, industry trends, and competitive landscape
  • Lead discovery and validation to ensure products solve high-value problems, clearly articulating value propositions tied to measurable client outcomes
  • Represent the platform internally and externally through client engagement, thought leadership, and industry presence
  • Partner with Sales, Marketing, and Customer Success on go-to-market execution
  • Support pricing, packaging, and monetization strategies for data and platform products
  • Drive growth of data- and API-based revenue streams
  • Own or materially influence revenue, adoption, and margin performance of data and platform products
  • Partner effectively with senior executives across Product, Engineering, and GTM
  • Communicate strategy, progress, and trade-offs clearly across stakeholders
  • Represent the platform in executive forums and drive cross-functional alignment
  • Build, lead, and scale a high-performing, globally distributed organization of Product Managers and Engineering leaders across North America, EMEA, and APAC
  • Coach teams on strong product thinking, engineering excellence, platform mindset, and execution discipline
  • Establish a consistent, high bar for product management and engineering practices

Benefits

  • regional-specific healthcare benefits for you and your family
  • Parental Leave and parental support perks
  • PTO days plus observed holidays
  • tuition reimbursement offerings
  • flexibility of working from anywhere in the world for two weeks out of the year
  • employee-led resource groups
  • Flex at MRI program (16 extra hours to your time off)
  • 16 hours of paid time to volunteer
  • generous employee referral scheme
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