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vice president data manager Los Angeles, CA

AltaMed

Full Time Los Angeles, CA 177290 - 103168 USD ANNUAL Today

Job description

Overview:

The VP, Data Management and Engineering position is responsible for scaling the organization's data engineering and reporting functions, and facilitating the implementation of new data management tools (cloud computing strategy) to ensure effective operations. Responsible for setting the data and information management strategy that will ensure that the D&A platform is optimized to support a changing and growing needs across the enterprise. This position will also be responsible for various functions of the D&A Product Portfolio approach to delivery. This includes data acquisition, data quality, data preparation, analysis, and engineering, ETL functions and report/analytical product delivery. This role will work closely with the VP of Data Strategy to ensure alignment between the enterprise business strategy and the delivery of data & analytics tools, services, and information assets. This position scale and deploy resources to expand the use of self-service analytics and other BI platforms to increase D&A maturity and data literacy. This role will develop a Data Quality function that will support and drive data quality/integrity for non-transactional data (Master Data Management) and transactional data (DQM tools). This role will also be supporting the development of the Data Science program at AltaMed by ensuring data are available, of high quality and prepared to drive all elements of Data Science (ML, AI, NLP etc). In partnership with the VP of Data Strategy, this role will play a key part in the development, maintenance, and operation of a data governance operating model, and a Data Governance Management Office. This position will design, document, evaluate, and lead the implementation of a variety of data management systems providing near-real-time reporting, analysis, and self-service analytics.

This role is involved in many areas of the organization and is responsible for working with department managers, health care professionals and senior level

management to determine their information needs, provide data quality, data analysis & utilization, develop business performance reports, assist in the development and maintenance of organizational databases, and expand the utility of a cloud computing platform across data management, data analysis, and information sharing functions.

Responsibilities:

Provides corporate leadership, vision, and direction for data warehouse systems, ensuring support of company’s objectives and requirements
Aligning the D&A platform with the strategic data/analytic needs of the organization
Develops and maintains D&A production processes through tight integration with the other functions within D&A
In cooperation with IT, leads and chairs the Architectural Review Board
Determines data needed to be collected and the appropriate data resources for specific data projects
Formulates, implements, and enforces proper data collection policies and procedures
Strategic thinker, proactive team leader with proven ability to manage & implement the complex landscape of data and analytics management using suitable business, data, technology, projects and organization
Oversees education efforts for users on data collection tools, equipment and proper data collection process
Establishes data quality standards and works with reporting agencies and organization stakeholders to ensure standards are
Determines quality data collection techniques are established for reporting purposes
Establishes and maintains key Data Governance assets in order to insure consistency across the enterprise.
Leads and documents procedures for data preparation including data cleaning, standardization and analysis
Directs interfaces maintenance efforts between systems that facilitate the transmission and collection of data
Ensures data systems are operational
Develops data collection and evaluation methodologies, including format design, project criteria and requirements, data compilation, relevancy and usage.
Develops and implements evaluation methodology related to various data programs to determine completeness and adequacy of the data collection procedure.
Manages all vendors related activity
Assists reporting agencies with set-up, testing, and implementation of data collection software
Understands and ensures privacy law and standards
Evaluates current systems to improve operations and patient care
Leads validation and documentation processes for team’s work outputs to ensure reliability of models, reproducible results and replication of the production process
Supervises the production of data reports for distribution
Effectively engage leadership and business stakeholders to prioritize the department's projects, as well as communicate the department's value back to the organization. Presents data when
Shares data with other State and Federal agencies, as needed
Consults with staff on data and reporting problems and assists in developing means to correct the problems
Fosters relationships with other entities in regards to data collection, reporting and transmission
Attends and participates in meetings where subject matter expertise is required, as a stakeholder, or as a lead of a steering committee
Provide consultative guidance and supervisory support to the department's staff and business stakeholders on the department's major analytical projects. This includes participating in steering committees for various organizational
Develop, propose, and manage budget for staff and technology
All other duties as assigned.

Qualifications:

Bachelor’s degree in quantitative discipline required; graduate degree with a quantitative, healthcare, business or technical focus In lieu of degree, equivalent education and/or experience may be considered.
Master’s degree preferred.
Minimum of 10 years of experience performing and leading complex data engineering, data quality role in a client services capacity, preferably at a health care organization required.
Minimum of 5 years of experience using MS SQL, MDM/DQM, Data Integration and Dev Ops aimed at supporting health related data and analytics platform required.
Experience working in the healthcare industry is required
Awareness of population health analytics and health care data (e.g., CPT/HCPS, ICD9/ICD10, revenue codes, DRGs, risk scores), Medicare and Medicaid value-based care arrangements and dual-risk and capitation models
Experience with HIE strategy development, execution and management
Knowledge and Experience in Health Information Systems, Health Administration, or a related field, or equivalent education/experience.
Advanced experience using MS SQL Reporting Services and reporting applications such as Tableau, Power BI, Crystal reports, MS Excel,
Experience in the manipulation and analysis of statistical data from large computerized information systems.