Data science is an exploding field with tremendous demand. Having high quality data is an absolute must for any business today and data informs every decision a business must make. But what if you have poor quality data? What if your company acquired another company and the data structure does not match? What if you have large gaps in the data you have vs. what you need?
Imagine yourself as an IT project/program manager who has run many engagements for the business. You have great PM skills and you run your agenda with the precision of a Swiss watch. But you now have to run Data Quality for your organization. Can you just program manage this and be fine? What will be different about this than any other IT project?
Wake-up call: a WHOLE LOT! You must acquire a lot of new skills and you must become a data expert as quickly as possible. I want to share with you my journey and experience. I have had to go from deeply technical in some IT areas, to project/program managing general IT projects, to gaining specialized skills in data quality. I will share with you my assessment, gap analysis and mitigation strategy that transformed me into a data quality expert.
I am a PMP, PMI-ACP, and Scrum Master certified enterprise architect (MCSE + Security, Cisco CCNP) with technical project lead/manager experience with deep grounding in various disciplines. I have recently joined Microsoft as a Principal Program Manager for Fleet Analytics which will be the authoritative source for all Fleet data, aka all data for Microsoft physical and logical assets in Azure. My scope is Data Quality for all of this information. My team and I perform data quality assessments, build rules based on the data attributes, code these rules for an application that scores the integrity of the data to help the business make informed and optimal decisions.