Associate Director, IT – Commercial Data & Insights Architect

Mirum Pharmaceuticals•Foster City, CA

3d•Hybrid

About The Position

Mirum Pharmaceuticals is seeking an Associate Director, IT – Commercial Data & Insights Architect to lead Commercial data architecture, data products, master data strategy, and analytics enablement for Commercial, Medical Affairs, and Patient Services. The role partners with Commercial stakeholders, Data & AI, and external partners to determine how Commercial data is sourced, integrated, governed, modeled, and delivered for reporting, analytics, customer engagement, omnichannel capabilities, and future AI initiatives. The position is accountable for Commercial data architecture, business data definitions, data quality standards, master data strategy, solution design, and analytics requirements. Enterprise data platforms, engineering standards, governance frameworks, and AI capabilities are provided by the Data & AI organization; this role ensures Commercial solutions align with business objectives and deliver trusted, scalable, actionable insights. The role leads the Commercial data architecture roadmap and defines reusable standards, patterns, and solution blueprints. It oversees architecture for data warehouses, data marts, semantic models, and data products, working with Data & AI teams using platforms such as Snowflake, Workato, Tableau, and Power BI. It also leads architecture for Commercial master data, including HCP/HCO mastering, affiliations, hierarchies, identifiers, territory alignments, and reference data. As the primary IT partner for Commercial data, reporting, and analytics, the position works with Commercial Operations, Sales Leadership, Marketing, Medical Affairs, Patient Services, and Analytics stakeholders. It establishes data quality, governance, security, compliance, and operational standards, and provides technical leadership and oversight to implementation partners, consultants, and vendors. The role also collaborates with Data & AI on enterprise alignment and on trusted data products for AI, machine learning, advanced analytics, and automation use cases.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business, or a related field.
8+ years of progressive experience in data architecture, data engineering, data warehousing, analytics, or related disciplines.
Demonstrated success designing enterprise-scale data solutions supporting Commercial business functions.
Experience leading cross-functional initiatives involving business stakeholders, vendors, and technology teams.
Deep expertise in modern data architecture, dimensional and relational modeling, ETL/ELT design, data integration, metadata management, lineage, governance, and observability.
Strong experience with Commercial pharmaceutical data, including CRM, specialty pharmacy, claims, payer, digital engagement, sales, and customer master data.
Experience with Snowflake, SQL, cloud-based data architectures, and modern integration technologies.
Strong understanding of master data management, including HCP/HCO mastering, affiliations, hierarchies, and reference data.
Strong architecture leadership and solution design skills, with the ability to communicate effectively with technical and business audiences.
Proven ability to influence without direct authority across business stakeholders, technical teams, and external partners.
Strong problem-solving, critical-thinking, and decision-making capabilities.
Excellent communication, stakeholder management, and facilitation skills.
Ability to balance strategic architecture leadership with hands-on technical engagement.
Deep understanding of Commercial pharmaceutical business processes and analytics requirements.
Strong knowledge of data governance, privacy, security, and compliance concepts.
Ability to translate complex business requirements into scalable and maintainable data solutions.
Strong vendor management and consulting oversight capabilities.
Ability to prioritize competing business demands and drive alignment across stakeholders.
Commitment to data quality, business value realization, continuous improvement, and operational excellence.

Nice To Haves

Experience supporting pharmaceutical, biotechnology, healthcare, or other regulated industries.
Experience working with analytics and reporting platforms such as Power BI, Tableau, Salesforce Data Cloud, or similar technologies.

Responsibilities

Lead Commercial data and insights architecture and serve as technology owner across Commercial, Medical Affairs, and Patient Services.
Define and maintain a Commercial data architecture roadmap aligned with business priorities and the Commercial technology roadmap.
Design scalable, reusable, governed data architectures for analytics, reporting, omnichannel engagement, field operations, customer intelligence, and advanced analytics.
Establish Commercial data standards, architecture patterns, solution blueprints, and integration approaches.
Evaluate emerging technologies, data products, and architectural approaches for business value, scalability, cost, security, and maintainability.
Define and oversee architecture for Commercial data warehouses, data marts, semantic models, and data products.
Partner with Data & AI teams using enterprise platforms such as Snowflake, Workato, Tableau, and Power BI, ensuring Commercial requirements are represented.
Design data models and business-ready data assets for reporting, analytics, forecasting, customer engagement, segmentation, targeting, and performance measurement.
Ensure Commercial data solutions provide trusted and consistent information across business functions.
Lead Commercial data architecture for HCP/HCO mastering, affiliations, hierarchies, customer identifiers, territory alignments, and reference data.
Define master data requirements and integration strategies across CRM, patient services, specialty pharmacy, claims, payer, marketing, and third-party Commercial data sources.
Partner with business stakeholders to establish business definitions, ownership, stewardship, and governance processes for Commercial data assets.
Serve as the primary IT partner for Commercial data, reporting, and analytics initiatives.
Translate business priorities from Commercial Operations, Sales Leadership, Marketing, Medical Affairs, Patient Services, and Analytics into scalable data solutions.
Support business planning, performance management, segmentation, targeting, omnichannel measurement, and customer engagement with trusted data and insights.
Provide architecture recommendations, technical impact assessments, effort estimates, and implementation options for Commercial investment decisions.
Prioritize Commercial data initiatives based on business value, complexity, risk, and resource availability.
Establish standards and controls for data quality, lineage, metadata, reconciliation, monitoring, auditability, and operational support.
Define and enforce best practices for data lifecycle management, retention, archival, security, and access control.
Partner with Security, Compliance, Privacy, and Data & AI to ensure solutions comply with corporate policies and applicable regulatory requirements.
Ensure Commercial data assets remain accurate, timely, complete, trusted, and suitable for business decision-making.
Serve as the primary technical lead for implementation partners, consultants, and vendors supporting Commercial data initiatives.
Provide architecture oversight for solution design, development, testing, deployment, and operational support.
Review and challenge solution architecture, data models, pipelines, integrations, transformation logic, and technical deliverables for quality and alignment with enterprise standards.
Ensure documentation, knowledge transfer, operational readiness, and solution sustainability.
Partner with the IT PMO and Commercial IT leadership to monitor project execution, risks, budgets, and delivery outcomes.
Align Commercial solutions with enterprise architecture, data governance, engineering standards, and AI enablement strategies in partnership with Data & AI.
Support AI and machine learning initiatives by enabling trusted, governed, high-quality Commercial data products.
Identify opportunities to use AI, automation, advanced analytics, and predictive insights to improve Commercial effectiveness and customer engagement.