Data Governance Interview with Marti Smith

Welcome Marti Smith to the Data Governance Interview!

An intro to Marti!

Marti Smith, CDMP Associate, is an experienced Data Governance professional with a proven track record of implementing and managing Data Governance programs across diverse industries. Currently serving as Master Data Governance Manager at EnerSys, Marti has also held key roles at Tyson Foods and Smith & Nephew. Marti’s expertise spans Master Data Management, Data Quality programs, and BI/Analytics Governance, including leading the operational implementation of Collibra, transforming the existing installation into a fully functional Data Governance program.

With a passion for data quality and process optimisation, Marti has consistently delivered measurable improvements in data accuracy and operational efficiency. She holds a Master of Science in Supply Chain Management from the University of Arkansas and a Bachelor of Science in Finance from Wilmington University.

I first met Marti when she came on one of my training courses. It was so lovely meeting her and I just loved her enthusiasm, so I had to ask her to be a part of one of my blogs.

How long have you been working in Data Governance?

I officially began my journey in Data Management and Data Governance about 10 years ago, starting as a Data Quality Analyst in 2014. Since then, I have taken on various roles within the Data Management spectrum, which has allowed me to explore different facets of Data Governance, including Master Data Management and Data Quality programs. This diverse experience has equipped me with a comprehensive understanding of how effective Data Governance can drive organisational success.

How did you get into Data Governance?

Throughout my career, I found myself being the "go-to" person for data in every role I held since 2008. This natural draw towards managing data led me to meet my mentor, Melissa Hollingsworth, who introduced me to the formal practice of Data Management. Initially, I was working on the business side, where I developed a strong understanding of how data impacts business operations. My innate interest in organising and leveraging data effectively caught Melissa's attention, and she recognised the potential in me to pursue this as a dedicated career path.

In 2014, I made a significant transition to IT when I accepted my first official role in Data Management as a Data Quality Analyst. This shift was made possible thanks to Melissa, who took a chance on me and encouraged me to pursue this field.

Now, do I believe Data Governance belongs in IT? Well, that’s another story for a different day!

What characteristics make you successful at Data Governance and why?

I believe my success in Data Governance comes from my passion for helping people improve their processes. I truly believe that 99% of business problems are tied to data or process issues, and I love working with teams to identify and fix these challenges.

I have a knack for analysing problems and finding practical solutions that make life easier for everyone involved. My ability to communicate technical concepts in a straightforward way helps bridge the gap between IT and business teams, fostering collaboration and trust. Overall, my focus on process improvement and my collaborative approach are key to my success in this field.

Are there any particular books or resources that you would recommend as useful support for those starting out in Data Governance?

The first book that significantly influenced my journey was the Data Management Maturity Model, developed in conjunction with the CMMI Institute. Melanie Mecca, who was instrumental in writing and developing this model, provided incredible insights into data management practices.

I frequently refer to DAMA's Data Management Body of Knowledge (DMBoK), which provides best practices and a common language for Data Governance professionals. The DAMA organisation has made significant contributions to the field by establishing standards and resources that guide practitioners. Additionally, their CDMP certification program provides practitioners with a valuable platform to showcase our capabilities and expertise in Data Management.

I also recommend following thought leaders in the field, such as Sunil Soares, who has authored numerous books on Data Management and Governance, and Nicola Askham. Their articles, publications, and insights can be invaluable for those of us looking to deepen our understanding of Data Governance.

What is the biggest challenge you have ever faced in a Data Governance implementation?

The most significant challenge I've consistently encountered in Data Governance implementations is navigating internal politics and driving adoption. It often feels like pulling teeth to get stakeholders on board and fully engaged with Data Governance initiatives.

This resistance typically stems from a combination of factors: fear of change, lack of understanding about the benefits, and concerns about increased workload or loss of control. Overcoming these barriers requires a delicate balance of education, diplomacy, and persistence — areas that I honestly consider to be some of my weak spots.

Is there a company or industry you would particularly like to help implement Data Governance for and why?

For my next role, I aspire to work for any company that genuinely values Data Management and Data Governance. I seek a leader who strikes the right balance between providing hands-on support and allowing me the autonomy to excel in my role. It’s important to me to be part of an organisation that embraces Data Governance as a core function and fosters a culture of collaboration and kindness.

I want to work in an environment where team members support one another, share knowledge, and encourage growth. A positive workplace culture that prioritises respect and teamwork is essential for me, as it not only enhances productivity but also makes the work experience enjoyable and fulfilling. Ultimately, I’m looking for a company that aligns with my values and is committed to leveraging data effectively for better decision-making.

What single piece of advice would you give someone just starting out in Data Governance?

Start small and find your tribe. Begin by familiarizing yourself with the fundamental concepts of Data Governance and gradually build your knowledge from there. Don't hesitate to ask questions and learn from those with more experience.

Additionally, focus on solving a business problem. If possible, talk to your leaders and executives to understand what keeps them up at night. Identify their key challenges and work backwards to determine how Data Management can help address those issues. This approach not only demonstrates the value of Data Governance but also positions you as a proactive problem solver within the organisation.

As you grow, remember that building relationships and collaborating with others will be key to your success in Data Governance.

Finally, I wondered if you could share a memorable Data Governance experience (either humorous or challenging)?

I would like to share a personal experience that underscores the importance of a robust Data Governance program that incorporates Data Quality Management. In 2006, my bank mistakenly deposited $45,000 into my checking account due to a data quality issue. While it was certainly a surprising moment, I recognised the significance of accurate data and the potential consequences of errors like this. Naturally, and sadly, I returned the money. However, it is a vivid reminder that effective Data Management is not just about compliance; it directly impacts people's lives and the reputation of businesses.