Data Governance Principal Consultant

Who You’ll Work WithSlalom are disrupting the market and bringing to life the art of the possible for our clients changing the narrative of Data Governance into a value, outcome experience for clients. We bring a subject to life to what Data Governance will mean for colleagues, we believe that an excellent experience for colleagues will have a positive impact on the clients customer. We have passion for building strategies, solutions and implementing Data Governance best practice, Data Products combined with user experience to help our clients solve their most complex and interesting business problems.Our Data Governance practice inspires clients by being outcome and value focussed first aligning to actual business opportunities that improves the clients customer experience. We bring leadership and experience to enhance the internal user experience of data to colleagues to becoming fully data & AI driven business.Our objective is to bring clarity on managing data and for the future such as the Frameworks, Op Model, the decision rights, roles & responsibilities to data to elevate data availability, usability, integrity, and security of data. By partnering with clients Slalom aligns the people, processes, technology & AI so that data is trustworthy, meaningful, and accessible.You will experience a variety of client projects including performing assessments, devising and implementing data governance frameworks, data quality, data catalog, context later, master data management, access and sharing, policies and standards and simplifying in the delivery of complex Data Governance and Data Management projects.What You’ll Do* Assist in the Data Governance (DG) discovery phase including business team interviews, identifying key business processes, and inventorying existing data assets* Work with Slalom peers to develop and/or revise Data and Data Governance strategies, frameworks, operating models, and key workflow processes* Work with our clients to define required technical and business metadata, identify data lineage needs, determine scanning schedules, and implement data catalog tools* Assess data quality, remediate data quality issues, develop data quality rules, create metrics, thresholds, and responses for data quality, and automate monitoring* Enhance 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 processes* Train 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: