Most Loved Workplace® Certified JobAI Transformation Leader
Most Loved Workplace® Certified JobAbout the Role
At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.
<p data-pm-slice="1 1 []"><strong>Req:</strong> SLSQ427R362</p>
<p data-renderer-start-pos="1648">With the most complete data &amp; AI stack on the market, Databricks is well suited to be the strategic partner for our customers’ AI transformations. This will require a structured motion and credible representation to engage CEOs and their boards on their AI transformation strategy and to play a pivotal role in helping them realize scaled value from AI. This role will lead in expanding Databrick’s mindshare in the non-technical C-suite and overall share of wallet, leading to owning both the platform conversation and transformation mandate.</p>
<p data-renderer-start-pos="2006"><strong data-renderer-mark="true">Objective of the role:</strong></p>
<ul>
<li>Position Databricks as a strategic AI transformation thought partner to the C-suite, in addition to our established status as a tech partner to their organizations</li>
<li>Establish trusted advisor status with LoB/functional leaders (e.g., CFO, CMO, etc.), advising on connecting LoB’s key outcomes and capabilities to specific technical use cases and solutions</li>
<li>Operationalize seamless execution of the identified transformation objectives with customer teams, partners, and Databricks</li>
<li>Lead the creation and activation of a select group of external AI Transformation leaders to serve as an Expert Advisory Council / C-suite user group</li>
</ul>
<p><strong data-renderer-mark="true">Responsibilities:</strong></p>
<ul>
<li>For a limited group of the highest priority customers:</li>
<ul>
<li>Develop deep C-suite/SVP+ relationships at the customer &amp; their main SIs and other strategic partners, execute on co-sell</li>
<li>Co-create the AI Transformation Roadmap</li>
<li>Ensure the successful translation of the roadmap from concept to deployment, and value realization by partnering with the FDE team and SIs</li>
</ul>
<li>For the broader customer set:</li>
<ul>
<li>Develop the engagement model with C-suite leaders, including programs/materials based on the above customer successes for wider enablement and repeatable execution</li>
<li>Develop co-sell motions with strategic SIs and MBB/B4 consulting partners</li>
<li>Develop scaled operating models with the FDE team and SIs to execute on transformations</li>
<li>Cultivate broad Databricks and personal credibility within the target industry segment or LoB function in Databrick’s status as a trusted thought partner in AI transformation / scaled adoption and develop Databrick’s C-suite transformation narrative</li>
<li>Develop and lead C-suite workshops to engage customer leadership on their AI transformations</li>
</ul>
<li>For Databricks:</li>
<ul>
<li>Identify, recruit, and engage recognized external C-suite leaders and visionaries in AI Transformation to form an Expert Advisory Council&nbsp;</li>
<li>Lead the activities of the Council to provide strategic guidance and operational insights into leading-edge AI Transformation capabilities</li>
</ul>
</ul>
<p><strong data-renderer-mark="true">Experience:</strong></p>
<ul>
<li>At least 15 years of experience in digital/AI transformation in enterprises, either as an operator or consultant, with demonstrated successes in creating, architecting, leading, and scaling large-scale transformation mandates</li>
<li>At least 5 years experience in working directly with enterprise C-suite to lead and execute against such transformations; built trusted relationships with these senior stakeholders</li>
<li>Deep, practical experience in the opportunities, challenges, and solutions for AI transformations in at least one of the following industries: Healthcare/Life Sciences, Financial Institutions, Public Sector, Manufacturing, Retail, Consumer Goods, Technology, Media, Telecom</li>
<li>Experience in developing and implementing operating models to support the transformations</li>
<li>Worked extensively with partners (e.g. SIs) to implement the transformations</li>
<li>Sufficient technical expertise to reliably and realistically inform the transformation objectives and timelines, and to establish credibility with technical leaders and teams</li>
</ul>
<p>&nbsp;</p><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/Databricks">LinkedIn</a>, <a href="https://x.com/Databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p>
<p><a href="https://www.Databricks.com/legal/applicant-privacy-notice" target="_blank"><strong><span style="font-weight: 400;">Applicant Privacy Notice</span></strong></a></p></div>
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Why This Is a Most Loved Workplace® Certified Job
Systemic Collaboration
As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.
Positive Vision for the Future
Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.
Alignment of Values
Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.
Respect
At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.
Killer Outcomes
Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.
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