JOB TITLE: PRINCIPAL DATA PRODUCT MANAGER

Your role involves managing the entire lifecycle of enterprise data products and services to align with company goals. You will lead the strategic direction of data products and coordinate teams of business leaders, data engineers, data architects, data analysts, and data scientists. As a Data Product Manager, you will establish and execute the data product operating model, define the vision and strategy for data products, implement product management processes, and produce roadmaps for high-quality, high-performing data products. You will also deliver data solutions that enhance the analytical experiences of client's customers and internal teams.

You create value from the organization's data assets and enable internal/external analytics and insights. This includes developing strategies to achieve business outcomes, drive innovation, and ensure compliance with regulatory, legal, and ethical requirements. You will collaborate with customers, business stakeholders, data architects, data scientists, data engineers, and product owners to build the data foundation for the data product catalog. Your team will gather requirements, write use cases, organize features, implement tools, and establish metrics for managing the data product lifecycle and maintaining a data product catalog or subscription.

ESSENTIAL FUNCTIONS

Product Strategy: Develop and maintain the Data Product Vision, Strategy, and Roadmap with input from various stakeholders. Define success metrics and strategic priorities, partner on enhancement requests, and prioritize them. Work with customers and internal stakeholders to understand and translate their needs into data platform requirements.

Product Discovery: Utilize enterprise information assets and analytics for decision-making and regulatory reporting. Lead the development of data and analytics products with Data Directors and Data Product Managers. Oversee deploying the enterprise's data and analytics platform, ensuring quality, traceability, timeliness, usability, and cost-effectiveness.

Product Lifecycle Management: Collaborate with Data Directors, Data Product Managers, and SMEs to finalize data requirements. Work with the engineering team through planning, iteration,

Team Leadership: Lead a cross-functional teams to achieve departmental, divisional, and enterprise goals.

Market Research & Competitive Intelligence: Promote data capabilities internally and externally. Assess competitors' data offerings and identify market opportunities. Assist with customer communications and scan for emerging data management strategies, tools, and technologies.

QUALIFICATIONS
Education Level: Bachelor's Degree in business administration, finance, computer science, data science, engineering, information science, related fields, or equivalent work experience.

Experience: 10 years Experience in Data Product Management.
Preferred Qualifications: Advanced degree.

Knowledge, Skills and Abilities (KSAs)
Ability to motivate and influence others so that project objectives are met in a timely manner.
Ability to collaborate with stakeholders to develop high quality solutions.
Ability to coach, delegate, and develop architects and engineers.
Ability to manage cross-domain architecture solutions and issues.
Expertise with domain related architecture frameworks, methods and tools.
Effective organizational, interpersonal/relationship management, analytical, communications (written and verbal) and collaboration

Top 5 mandatory skills:
1. Minimum of 10 years of experience leading data product initiatives within the PBM space, with a deep understanding of PBM operations, data ecosystems, business processes, and integration challenges.
2. Strong expertise in data integration, data transformation, data standardization, and enterprise data platforms.
3. Proven ability to define and execute complex integration roadmaps
4. Exceptional communication skills with the ability to engage effectively at every level of the organization-from CEO and executive leadership teams to architects, engineers, and operational stakeholders.