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DAMA Day 2019 Presentations and Speakers

Key Note:  Aaron Weller  

First Comes Ethics, then Comes Democratization

While allowing broad access to data sounds like a great opportunity - if you consider how valuable that data can be, there is clear risk in democratizing access without appropriate risk management in place, but where traditional risk management doesn't have the answers, what can you do?

Building a culture of responsible data usage with a strong ethical basis within your organization will allow you to both reap the benefits of data democratization and respect personal information in accordance with your organizational goals and those of other stakeholders.  Think beyond compliance and about how to develop and deliver a culture that makes data work for you.


Aaron, a Fellow of Information Privacy, has over 20 years of global experience in security and privacy.  He led PwC's Western US Privacy practice for 5 years, and was the CISO for two multi-national retailers prior to leading GDPR efforts for a major technology company.  He is now VP, Strategy for Sentinel, a privacy technology and consulting company.

Speaker:  Brendon Lynch

Data Privacy: Can you future proof your data governance in a rapidly changing world?

New and updated data privacy rules and regulations are proliferating globally, making the governance of personal data increasingly challenging. At the same time organizations across all industries are transforming digitally and using more and more data to help drive product innovation, employee productivity, operational efficiency and customer connectivity. Data governance programs increasingly need to take account of various privacy requirements around the world while ensuring that those digital transformation benefits can be realized. In this session, you will hear how Microsoft is seeking to deliver a principled, globally-consistent privacy experience to its customers while maintaining compliance with a growing list of privacy and data protection laws around the world. It will also explore the important question of whether a common set of data privacy practices and controls can not only enable compliance with the varying requirements around the world, but can also ‘future proof’ us against what might be on the horizon.

Brendon Lynch is the Chief Privacy Officer of Microsoft, where he has global responsibility for Microsoft’s data privacy governance including influencing the creation of privacy and data protection technologies for customers and overseeing communication and engagement with external stakeholders.  Brendon’s focus is on enabling innovation while building and maintaining customer trust through responsible data collection and use practices. Before joining Microsoft in 2004, Brendon led the privacy and risk solutions business at software maker, Watchfire (now part of IBM). Prior to entering the software industry, Brendon spent nine years in Europe and North America with PricewaterhouseCoopers where he provided privacy and risk management consulting services. 

Brendon is a Certified Information Privacy Professional (CIPP) and holds a business degree from the University of Waikato, in his home country of New Zealand. Brendon was the 2017 recipient of the prestigious IAPP Privacy Vanguard Award, which recognizes a privacy professional who shows exceptional leadership, knowledge and creativity in the field of privacy and data protection. Brendon recently served as Chairman of the Board of Directors of the International Association of Privacy Professionals (IAPP) the world’s largest association of privacy professionals globally.

Panel:   A Foundation for Data Democratization

Take advantage of an well informed panel that covers the topic of Data Democratization from a number of perspectives.  Four panel members will exchange light hearted debate on what it will really takes to achieve the goal of Data Democratization based on their respective battle scars.  The audience will gain an appreciation for the trade-offs in privacy, user control, traditional data governance and why “thinking big” isn’t always the answer (but thinking critically is).

  Jeff Steffens 

Jeff is the Founder and CEO of the Management Consulting firm FocalPointe Group and has demonstrated expertise in helping companies achieve desired outcomes while simultaneously building the clients’ capacity and capability.  He is currently leading a team of data professions through a data breakthrough initiative to create a path forward for a data governance strategy.


  John Krpan

John is a Partner with FocalPointe Group who focuses on the identification and implementation of practical solutions to complex problems.  John’s operational experience includes governance, digital transformation, data governance and managed services. While transferable across a range of industry, the bulk of John’s experience is in telecomm, healthcare, retail, manufacturing, energy and finance.

  Ray Palokovic

Ray has been deeply involved in data management strategy for the better part of the past 15 years, having built both technology and business teams to glean business value from data resources.  From his career origins in law and litigation, Ray brings a unique perspective to the strategy and practice of business intelligence, master data management and data governance.  

Gold Sponsor:  Denodo

Speaker:  Rob Adamson

Abstract coming soon.



Bio coming soon.                                                                                                                                                                                          

Panel:  The Data Ethics of Emerging Technologies

New technologies have created a surge in the collection, use and volume of data.  Artificial Intelligence (AI) enables the processing of enormous quantities of information, allowing it to identify data patterns and make decisions on a scale and pace beyond what humans can do.  Internet-connected devices (referred to as the Internet of Things or IoT) collect data about their environment constantly, including where people are and what they are doing.  Autonomous Vehicles (AV) use data sets and algorithms to able to travel with less and less human intervention over time.  Facial recognition software makes it easier to identify people quickly and automatically. 

There are tremendous societal, business and individual benefits to these technologies.  But there are also risks and questions.

What are the ethics associated with these technologies?  What happens when inputs and algorithms lead AI to create and reinforce data bias?  What are the privacy and security concerns associated with IoT and facial recognition?  What are the ethical issues associated with AVs that must “decide” how to respond in an emergency?  Are data ethics uniform across technologies or are they specific to each one? 

What duties do the creators of these technologies owe to the people whose data is collected and used, if any?  Will the US answer these questions in the same way as the rest of the world?  How is the law shifting to address these concerns? 

  David Rice

David Rice is a partner with Miller Nash Graham & Dunn LLP who advises clients on vendor contracting, data security, data privacy, and IT/cloud infrastructure issues. David is CIPP‐US certified by the International Association of Privacy Professionals. He has over twenty years of experience working with clients on data privacy and security related matters.

  Jane Brown

Jane E. Brown is Counsel to the Firm and advises not-for-profit, government, brick-and-mortar, technology and start-up, mobile, and e-commerce clients across numerous industries on data privacy, regulatory, and security issues. She is certified in U. S. privacy law by the International Association of Privacy Professionals (IAPP).

  Tonya Gissleberg 

Tonya is an experienced attorney. She lives and is licensed to practice in Washington State. Her practice focuses on privacy, cybersecurity and copyright law. Tonya graduated from the University of Washington with a B.A. degree in Business Administration. Her J.D. degree is from Seattle University. She received an LL.M. from the Intellectual Property Law and Policy Graduate Program at the University of Washington.

  Karen Nadler

Karen Nadler is a Seattle attorney with over 20 years of experience, working primarily in the fields of technology transactions and privacy law. Admitted to practice law in Washington, New York, and Georgia, Karen has advised small, mid-sized and Fortune 50 software and technology companies over the years. 

Speaker:  Carl Hammersburg

Beyond PII: Data Privacy in the Age of AI

From the inscrutability of algorithmic logic to the ability to generate increasingly intimate insights into individual and group actions, AI creates unique privacy challenges. This session will explore the impacts of AI on traditional privacy practices including implications for how we define “private” and obtain informed consumer consent.


Carl Hammersburg is a published author and speaker, and a Seattle native.  He manages the Government and Healthcare Risk and Fraud team for North America at SAS, working with customers on the challenges of achieving their mission through the proper management of data, data sharing and analytics while balancing privacy concerns. 

Speaker: Dave Wells

Data Governance in a Changing World

Conventional data governance practices come from a simpler time when data management was free from many of today’s challenges such as agile development and self-service analytics. Traditional data governance focuses first on enforcement of policies and controls. Enforcement continues to be needed, but it should be used as a last resort and not as the first or only governance technique. Adapting old governance practices to support the autonomy and agility of the modern data management world is a must. Modern data governance needs a new approach that:

    • Emphasizes prevention and intervention over enforcement
    • Reduces complexity with a minimalist approach to policy making
    • Manages complexity and advances data literacy through data coaching
    • Replaces hierarchical and authoritarian decision rights with collaborative decision models
    • Shifts from slow and rigorous change control and issue resolution processes to agile and adaptive change and issue management techniques

We can’t actually govern data; we can only govern what people do when working with data. Recognizing that data governance is more focused on people and culture than on technology can truly change the game. It is practical to implement data governance practices that are not in conflict with agility, speed, self-service, and autonomy.


Dave Wells is Data Management Practice Director at Eckerson Group, a data and analytics research and consulting firm. Over a career of 5 decades he has filled many data management roles including implementer, architect, and manager.  Modernizing data management is Dave’s main focus today as big data, analytics, self-service and other trends reshape the world of data management.

Speaker:  Brian Schrameck

Reducing Data Privacy's Impact on Business Velocity

Privacy is becoming a differentiating characteristic for organizations. Consider Apple, who routinely touts privacy as a strong selling point over their competitors. But when business units that rely on analytics and data science hear the terms “data governance” and “data privacy”, there is often trepidation. “How will these policies affect my analysts and data scientists?” “How much red tape am I going to have to deal with?” Introducing comprehensive governance controls naturally leads to a mandate versus mission argument with some of the enterprise. There are those who want to leverage data democratization to transform and accelerate the business, but are having trouble reconciling that mission with the mandate to ensure governance and privacy.  Reducing the friction between the governance organization and the data consumers, but not at the expense of security and privacy, is key to enabling innovation and organizational velocity.


This talk will focus on the processes and concepts that allow organizations to continue accelerating their differentiation in the marketplace with data, while still adhering to sound privacy and governance principles.



Brian is an established Sr. Manager and Sr. Solution Architect with 11 years of experience and currently leads the national Data Analytics practice at Sila, a management and technology consulting firm. He specializes in guiding functional and technical resources to facilitate data driven cultures via data management, engineering, analytics, and data science initiatives. Brian has earned the CISSP and holds a Master’s in Software Engineering.



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