Data Steward

Data Steward : Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board. Primary Responsibilities: Responsible for data quality and data accuracy across all group/division delivery initiatives. Responsible for data analysis, data profiling, data modeling, and data mapping capabilities. Responsible for reviewing and governing data queries and DML. Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes. Accountable for the performance, quality, and alignment to requirements for all data query design and development. Responsible for defining standards and best practices for data analysis, modeling, and queries. Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management. Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage. Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap. Partners with the data governance team to ensure data solutions adhere to the organizations data principles and guidelines. Owns group's data assets including reports, data warehouse, etc. Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution. Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production. Partners with others in test data management and masking strategies and the creation of a reusable test data repository. Responsible for solving data-related issues and communicating resolutions with other solution domains. Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases. Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business. Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report. Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders. Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed. Additional Responsibilities: Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies Knowledge and understanding of industry-standard/best practices requirements gathering methodologies. Knowledge and understanding of Information Technology systems and software development. Experience with data modeling and test data management tools. Experience in the data integration project Good problem solving & decision-making skills. Good communication skills within the team, site, and with the customer Knowledge, Skills and Abilities Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts. Solid understanding of key DBMS platforms like SQL Server, Azure SQL Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines. Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc. Experience in Report and Dashboard development Statistical and Machine Learning models Python (sklearn, numpy, pandas, genism) Nice to Have: 1yr of ETL experience Natural Language Processing Neural networks and Deep learning xperience in keras,tensorflow,spacy, nltk, LightGBM python library Interaction : Frequently interacts with subordinate Data S