DataOps Panel: Creating a data-driven culture

More and more companies are adding a Chief Data Officer (CDO) and other leadership roles to the executive-suite, often leading an organization-wide transformation to a data-driven culture. CDOs, and other senior technologists, face a wide range of challenges. At the same time, the progress of data technology - especially cloud services, AI, and machine learning - is opening up new opportunities.

Our panelists will share their insights and describe the strategies they’re using to move data-driven decision-making to the core of organizational processes, products, and services.


Moderator: Sanjeev Mohan, Research Vice President, Big Data & Advanced Analytics @ Gartner

As the head of the Data and Analytics research team, Sanjeev is delving deep into the rapidly evolving Big Data and Data Science space. He can be found most days hunched over his laptop researching and writing up about the latest and greatest developments in cloud and data.


Paloma González Martínez, Chief Data Officer @ AlphaCredit

Data Expert & Business Oriented Leader with over 14 years serving as a key interface from raw data into strategic actionable insights to transform the business by answering ad-hoc complex questions.

Solid expertise in proactively drive the collective understanding of business through data, helping companies become truly data-driven. Leading data teams with sophisticated methodologies but guaranteeing business acumen and goal achievement.

Problem-solving skills and ability to maximize leadership skills when facing highly stressed situations; a balanced mixture of quantitative and soft skills.

Economist by CIDE with prior experience at the Federal Government as an advisor, reporting to State Secretaries.


David Lloyd, Chief Data Officer @ Ceridian

As the Chief Data Officer, I have a passion for the transformation of data into action and insight driving quantifiable customer value. I've been fortunate to create and drive companies as CEO that leveraged data to create amazing customer experiences. On the journey working with amazing people, we've also developed cultures recognized as Great Places To Work producing award-winning (high NPS) SaaS platforms. My passion for start-up and growth companies can be summed up in cycling terms as "one more hill, it doesn't get easier, you just get better." Never stop learning.


Kumar Menon, SVP Data Fabric & Decision Science Technology @ Equifax



Sarah Gadd, Global Head of Data and Artificial Intelligence Solutions @ Credit Suisse

Over 20 years experience innovating and implementing change, mostly in Financial Services, but really the skills work anywhere. I enjoy taking businesses that are used to the traditional and introducing new and exciting approaches using suitable technology, from simple business-friendly tools to advanced AI systems. Managed large, diverse, and remote teams and present frequently in different forums across topics like Diversity and Ethics, to AI and Deep Learning. Data has always been a big part of my life.

What is DataOps Unleashed?

DataOps Unleashed is the official DataOps community.

We came together on March 17 as the emergence of DataOps, CloudOps, AIOps, MLOps, and other professionals, who gathered virtually to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

Sessions included talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs.

Join us in Winter 2022 for the next DataOps Unleashed!

What is the cost to watch the virtual sessions?

DataOps Unleashed is always free and open for all to attend and view on-demand.

Join us for sessions on:

  • Data pipelines
  • Data orchestration
  • Metadata
  • Data quality
  • Data governance
  • Data science platforms
  • AIOps and MLOps
  • CloudOps
  • Migrations
  • Observability
  • Optimization
  • Operations

Who comes to DataOps Unleashed?

DataOps professionals and experts including data administrators, data architects, data engineers, data analysts, AI/ML professionals, and data technology leadership.

If you'd like to speak at DataOps Unleashed, send a note to

New to DataOps?

DataOps is a holistic approach to the creation, deployment, monitoring, management, and optimization of data-driven applications. It describes the culture and rules of engagement that allow data teams to deliver and maintain high-quality, on-time data products, often powered by AI and machine learning, in an agile and cost-effective way.

DataOps defines how data teams work and also affects data consumers and those whose work causes new data to be created and used within the organization. Their work enables the entire organization to access data efficiently for data-driven decision-making and for the creation and delivery of data-driven applications.

Organizations with well-developed DataOps strategies, governance, and processes can expedite the delivery of data-driven workflows and results faster and better than others.


Sign up below to join us in 2022 at the next DataOps Unleashed

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