• Partner with business owners to cultivate a shared vision for Aledade’s CRM ecosystem, develop alignment on constraints, priorities and ideal end state, and be able to articulate and advocate for this perspective. • Ongoing optimization of user workflows and capabilities, including monitoring of key metrics & incorporation of user feedback • Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution. • Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes. • Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description MasterControl is seeking a Senior Technical Product Manager – Data Platform to drive the evolution of our enterprise data platform. This role is responsible for defining product direction and execution for data capabilities that power analytics, reporting, integrations, and data-driven features across the MasterControl platform. This is a hands-on technical product leadership role for someone who is technically fluent in modern data systems and comfortable partnering closely with engineering teams to deliver scalable, reliable data infrastructure. Responsibilities - Own the product roadmap and execution for core data platform capabilities. - Partner with data and application engineering teams to design and deliver scalable data ingestion and transformation pipelines. - Drive platform patterns that support batch and streaming data processing and high-quality, reliable data. - Ensure data is modeled and stored to support analytics, reporting, and downstream consumption. - Enable data access via APIs, connectors, and integrations for internal and external consumers. - Collaborate with analytics and reporting teams to ensure the platform supports dashboards and insights. - Translate technical concepts into clear product requirements, priorities, and delivery plans. - Balance delivery speed with long-term platform health and scalability. Qualifications - 7–10 years of experience in technical product management or data platform–focused roles. - Strong understanding of modern data platform concepts, including data pipelines, transformations, and data warehousing. - Familiarity with streaming and event-driven architectures and tools such as Kafka, Databricks, Snowflake, Flink, or similar technologies. - Solid foundation in data modeling and traditional relational database systems. - Experience designing systems that make data consumable via APIs, integrations, or reporting tools. - Proven ability to work effectively with senior engineers and cross-functional stakeholders. - Strong product judgment and the ability to make informed tradeoffs across scope, performance, and time-to-market. - Excellent written and verbal communication skills. Requirements - Experience supporting BI or analytics platforms (e.g., Sisense). - Background in enterprise SaaS or regulated industries (Life Sciences a plus). - Experience working on multi-tenant or highly scalable platforms. Physical Demands and Working Conditions - Primarily sedentary work with frequent use of computer, keyboard, and mouse. - Occasional lifting or moving of computer equipment or other objects up to 25 pounds may be required. - Standard office environment with potential for remote work. Benefits - Competitive compensation - 100% medical premium coverage (yes, you read that right!) - 401(k) plan with company match - Generous PTO packages that increase with tenure - Schedule flexibility - Fitness clubs (you get paid to have fun and be active!) - Company parties and employee recognition programs - Wellness programs (free Fitbit, gym membership and athletic shoe reimbursements, etc.) - Onsite physician and massage therapist - Innovation center and gaming rooms at the office - Dental/vision plans - Employer paid life insurance policy - Much, much more!

• Partner with business units to surface pain points and opportunities for AI agents. • Translate business needs into clear requirements and prototypes. • Act as a trusted consultant and guide for stakeholders on AI possibilities. • Rapidly design and deliver version-one AI agents tailored to business unit needs. • Collaborate with AI Engineers, data teams, and platform teams to ensure scalable solutions. • Document, test, and refine agent solutions based on feedback and adoption. • Train and mentor coworkers within business units to become AI agent builders themselves. • Develop playbooks, best practices, and lightweight training materials. • Foster a culture of curiosity, experimentation, and continuous learning. • Explore emerging AI models, tools, and frameworks; bring forward innovative applications. • Continuously evaluate how new AI capabilities can solve real-world business challenges. • Advocate for responsible and scalable use of AI across the enterprise.

• Own the product roadmap and execution for core data platform capabilities. • Partner with data and application engineering teams to design and deliver scalable data ingestion and transformation pipelines. • Drive platform patterns that support batch and streaming data processing and high-quality, reliable data. • Ensure data is modeled and stored to support analytics, reporting, and downstream consumption. • Enable data access via APIs, connectors, and integrations for internal and external consumers. • Collaborate with analytics and reporting teams to ensure the platform supports dashboards and insights. • Translate technical concepts into clear product requirements, priorities, and delivery plans. • Balance delivery speed with long-term platform health and scalability.