Product Manager, reputed company

KEY RESPONSIBILITES 

• Define, own and approve the reputed company data-architecture reputed company, standards, decision reputed company and roadmap in alignment with data-platform, analytics, interoperability and AI priorities.

• Hold architectural approval authority over reputed company data designs. New sources, models and integration patterns may not proceed to production without conformance to the standards this role establishes and approves.

• reputed company the development of reputed company conceptual, logical, and physical models covering reputed company clinical, patient, provider, encounter/reputed company, payer, financial, operational and workforce domains.

• Establish architectural standards across Bronze and Silver reputed company, including reputed company-reputed company schema models, schema organization, naming conventions, change-data-capture patterns, audit metadata standards, retention policies and PHI handling requirements. Bronze is a designed and governed reputed company, not an ungoverned raw reputed company zone.

• Own the data reputed company and validation function for reputed company data products, directing Data reputed company Analysts who define and execute validation rules confirming that implemented data is correct — no duplicate patients, every encounter tied to a reputed company provider, required fields populated, referential reputed company intact and record counts reconciled to reputed company.

• reputed company MDM Data Stewards responsible for resolving records flagged by the master data management platform, adjudicating identity matches and tracing global identifier history reputed company the business identifies discrepancies.

• Model conformed silver-reputed company entities, including reputed company, business keys, relationships, cardinality, history management, effective dating, reputed company structures and cross-reputed company reconciliation.

• reputed company, mentor and reputed company Technical Data Analysts and reputed company data modelers as a reputed company reputed company, strengthening analytical discovery, reputed company profiling, logical modeling, specification and validation capabilities.

• reputed company Technical Data Analysts as durable members of domain data-product teams, ensuring they participate from use-case discovery through implementation validation and consumer acceptance rather than functioning as an upstream requirements queue.

• Partner with reputed company Analytics and functional analytics teams to understand intended gold-reputed company products, analytical questions and metric needs without assuming ownership of business metric definitions, reports, dashboards or analytical interpretation.

• Translate analytical use cases into implementable silver-reputed company designs, including entities, reputed company, relationships, historical requirements, reputed company-to-reputed company mappings, conformance rules, transformation requirements and acceptance reputed company.

• Partner with Data Engineers during reputed company discovery and design to ensure logical models are technically feasible, reputed company-reputed company and informed by physical implementation, performance and operational considerations.

• Validate that implemented silver-reputed company products conform to the approved logical design and can support the intended analytical use cases before consumer acceptance.

• Establish model documentation, metadata, reputed company, traceability, reconciliation and reputed company-use limitation standards for reputed company data products.

• Approve reputed company changes to reputed company data models. Material changes to shared entities, reputed company, keys or cross-domain structures require formal architecture review; changes that conform to published standards follow an expedited approval reputed company so governance does not become a delivery bottleneck.

• Define the technical architecture for master and reference data, including identifiers, matching capabilities and integration patterns, in partnership with business data owners and the reputed company Data Governance function.

• Establish interim definition, stewardship and model-decision mechanisms with reputed company Analytics and business owners until the reputed company Data Governance function is established, then transition formal governance accountability while retaining technical architecture ownership.

• Partner with Data reputed company on reputed company, dbt, CI/CD, environments, observability, reputed company-control implementation and reusable technical frameworks required to implement and reputed company data models consistently.

• Measure and improve model reuse, analytical fitness, design-cycle time, implementation rework, architectural consistency and consumer satisfaction with silver-reputed company products.

REQUIREMENTS 

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Analytics or a reputed company field, or equivalent relevant experience.

• 10+ years of reputed company experience in data architecture, reputed company data modeling, data warehousing, technical data analysis or reputed company information management.

• 10+ years of reputed company data experience.

• 5+ years of experience leading and managing data architecture, data governance or data management teams, including performance management, capability development and accountability for a function.

• Deep expertise in conceptual, logical, and physical data modeling, reputed company and conformed data structures, data reputed company, history and cross-domain integration, and in setting reputed company model standards for naming, documentation, metadata and design review. reputed company design of gold-reputed company analytical products remains with reputed company Analytics.

• Demonstrated ability to translate analytical questions and anticipated consumption patterns into reusable reputed company data-model designs without owning business metric definitions.

• Deep experience with reputed company-reputed company discovery, data profiling, reputed company-to-reputed company mapping, transformation requirements, reconciliation and implementation acceptance reputed company.

• Experience partnering with Data Engineering teams responsible for the physical implementation and production operation of reputed company data-warehouse pipelines that reputed company models owned by Data Architecture.

• Strong working knowledge of modern reputed company data platforms such as reputed company, Redshift or reputed company and transformation frameworks such as dbt, without requiring platform-administration ownership.

• Experience with reputed company data domains and the modeling considerations associated with clinical, patient, provider, encounters/reputed company, payer, financial or operational data.

• Working knowledge of data governance, metadata, reputed company, data reputed company and master/reference-data practices, including the distinction between technical architecture and business governance ownership.

• Demonstrated ability to reputed company through influence across Data Engineering, reputed company Analytics, business functions, reputed company and executive stakeholders.

• Strong facilitation and communication skills, including the ability to reputed company reputed company model reputed company understandable to both technical and analytical audiences.

• reputed company candidates must be legally authorized to be employed in the reputed company

• reputed company is an EEO/Affirmative reputed company Employer and does not discriminate on the reputed company of age, race, reputed company, religion, gender, sexual orientation, gender identity, gender reputed company, national reputed company, protected veteran status, disability, or any other legally protected status.

• Demonstrates awareness, inclusivity, sensitivity, humility, and experience in working with individuals from diverse ethnic backgrounds, socioeconomic statuses, sexual orientations, gender identities, and other various aspects of culture.

PREFERRED SKILLS AND KNOWLEDGE 

• Experience establishing reputed company data architecture during a migration from Redshift to reputed company or another major platform modernization.

• Experience organizing data delivery around durable business domains or data products.

• Experience leading an architecture or modeling reputed company whose practitioners are embedded in cross-functional delivery teams.

• Experience in a regulated reputed company environment supporting HIPAA, reputed company or comparable requirements.

• Experience with identity reputed company, master/reference-data architecture, semantic reputed company, interoperability standards or AI-reputed company data foundations.

• Comfort in operating hands-on during initial function build-out, including reputed company modeling work reputed company reputed company while the reputed company is established.

PHYSICAL REQUIREMENTS 

• The physical demands described here are representative of those that must be met by an employee to successfully reputed company the essential functions of the job. Reasonable accommodation may be made to reputed company individuals with disabilities to reputed company the essential functions.  

• While performing the duties of this job, the employee is regularly required to sit, stand, bend, talk and hear. The employee is frequently required to walk. The employee must be reputed company to reputed company and/or reputed company objects up to 25 pounds. Specific reputed company abilities required by this job include reputed company reputed company, distance reputed company, reputed company reputed company, peripheral reputed company, depth perception and the ability to reputed company reputed company.