What are the responsibilities and job description for the Data Governance Specialist position at Slalom?
Who You’ll Work WithAs a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.Our Data Governance practice assists customers on their journey to becoming fully data-driven organizations.Our objective is to optimize our client’s ability to successfully manage the decision rights and responsibilities of their data to ensure availability, usability, integrity, and security of their information assets.By co-creating solutions that align the people, processes, and technology, we help ensure their data is trustworthy, meaningful, and properly accessible. You will experience a variety of client projects including performing assessments, devising and implementing data quality, data catalog, and master data solutions, and assisting in the delivery of comprehensive Data Governance and Data Management projects.Our team is open to hiring at either the Consultant or Sr. Consultant level for this opening.What You’ll Do Assist in the Data Governance (DG) discovery phase including business team interviews, identifying key business processes, and inventorying existing data assetsWork with Slalom peers to develop and / or revise Data and DG strategies, frameworks, operating models, and key workflow processesWork with our clients to define required technical and business metadata, identify data lineage needs, determine scanning schedules, and implement data catalog toolsAssess data quality, remediate data quality issues, develop data quality rules, create metrics, thresholds, and responses for data quality, and automate monitoringEnhance Master Data Management (MDM) solutions by identifying key data elements, creating steps for cleansing and enrichment, developing match / merge rules, and identifying the appropriate review and approval processesTrain and coach candidate data stewards to steward their data by identify data quality rules, associating policies, standards, and procedures, and defining proper data usage Travel requirements :
