SLSQ226R185

As the Go-to-Market Leader for Consumer Goods & Collaboration, you will play a pivotal role in driving industry transformation through data collaboration, AI, and supply chain innovation. Your expertise will be critical in shaping and executing a comprehensive go-to-market (GTM) strategy, helping Consumer Goods companies optimize their supply chains, enhance data collaboration, and unlock new revenue opportunities.

You bring a deep understanding of the Consumer Goods industry, particularly in supply chain operations, data interoperability, and industry standards. You are well-versed in global data exchange frameworks such as GS1, GDSN, and product data synchronization, retailer collaboration, and have a strong grasp of how AI and data platforms can improve efficiency, resilience, and collaboration across the value chain.

In this role, you will cultivate executive relationships with leading Consumer Goods companies, collaborate with key industry bodies and ecosystem partners, and work cross-functionally to accelerate growth. You will report to the VP of Consumer Industries GTM, playing a key role in expanding market presence and driving revenue growth.

The impact you will have:

Develop and Execute a Targeted GTM Strategy: Design and implement a go-to-market plan focused on supply chain optimization, data collaboration, and AI-driven transformation within Consumer Goods. Drive Strategic Growth: Engage with Consumer Goods leaders, supply chain executives, and regulatory bodies to expand market share, secure key accounts, and establish a leadership position in the industry. Lead Industry Initiatives and Strengthen Partnerships. Drive open-source initiatives for data collaboration and build strategic alliances with industry bodies, as well as Independent Software Vendors (ISVs), System Integrators (SIs), and ecosystem partners to advance data-sharing capabilities and digital transformation. Optimize Supply Chain and Data Collaboration: Help companies leverage data standards, interoperability frameworks, and AI-driven analytics to enhance supply chain efficiency, reduce costs, and improve visibility. Establish Thought Leadership: Represent the company at industry forums, conferences, and executive roundtables, contributing to white papers, blogs, and industry reports that shape the conversation around AI and data in Consumer Goods. Enable Sales Teams and Drive Adoption: Collaborate with sales, pre-sales, and marketing to create industry-specific sales playbooks, enablement programs, and go-to-market content tailored to Consumer Goods and supply chain professionals. Engage in Key Industry Events: Lead speaking engagements, customer roundtables, and executive briefings to build brand credibility and position the company as a trusted advisor in Consumer Goods and supply chain transformation.

What we look for:

Senior Executive Experience in Retail or Consumer Goods: Proven track record as a senior leader or practitioner in the Retail or Consumer Goods industry, with deep industry expertise and strategic insight. Development of Industry GTM programs: Extensive experience in collaborating with cross-functional teams to build and deploy vertical solutions on existing technology platforms, delivering significant revenue growth and customer value. Builder mentality. Experienced in working in a cross functional team, but eager to step into areas of ambiguity and develop solutions. Go-to-Market Strategy and Execution: Skilled in working with sales and pre-sales teams to develop comprehensive go-to-market sales kits and strategies that drive market penetration and business expansion. Executive Relationship Building: Exceptional ability to engage with senior executives (CXO, IT, and Business Leaders), establish strategic relationships, and create opportunities for business development. Driving Transformational Change: Demonstrated success in leading large-scale transformation initiatives within Retail or Consumer Goods organizations, with a strong grasp of both technical and business decision-making processes in complex environments. In-depth Knowledge of Technology Landscape: Strong familiarity with the technology ecosystem, data standards in Retail & Consumer Goods, experience with data and AI systems, and broader technology trends within the Retail & Consumer Goods sector. Expertise in Global Regulations: Comprehensive understanding of key global regulations affecting Consumer, Supply Chain, and Security, with a particular emphasis on European regulatory requirements. Program Management for Vertical Solutions: Hands-on experience in managing vertical solutions, including gathering and prioritizing business requirements, coordinating with technical teams to meet timelines, collaborating with marketing for asset development and event planning, and managing partner relationships to achieve key milestones. Sales Enablement and Coaching: Proven ability to train and enable sales teams on effectively positioning technology solutions to customers in the Retail & Consumer Goods industry.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$281,900—$432,200 USD

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 2 Pay Range$281,900—$432,200 USD

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 3 Pay Range$281,900—$432,200 USD

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 4 Pay Range$281,900—$432,200 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

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, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

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.

Compliance

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.