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Data & AI Strategist - Databricks

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Job Title
Data & AI Strategist
Job Location
Zürich, Switzerland
Job Description

FEQ126R63

The Data & AI Strategist is representing Databricks’ commitment to lead businesses through the intricate realm of data and AI. You will position our technology at the forefront of business transformation with our customers and partners, while using a strategic thought process, technical mastery and familiarity with the business of our clients. As a Data & AI Strategist, you will share your experience with senior decision makers and other senior roles who are looking to transform their business, both by unlocking new areas of success within existing clients and creating more opportunities with new clients.

You will collaborate with the account teams to develop a strategic point of view for evolving data-driven decision-making over the next 1-3-5 years and identifying short, mid, and long-term priorities as a roadmap for our engagement with customers and their success using Data & AI. For this you will create evidence-based narratives with our Value Advisor Team to inspire customers about the art of the possible, underpinned by the Databricks platform, investment direction and possibilities. This will also require collaboration with other teams and using the diverse value propositions of our partners and service providers.

You'll be reporting to the Sr. Manager, Field Engineering for Databricks in Switzerland.

The impact you will have: 

  • Strategic Leadership: You'll help develop longer-term and large-scale roadmaps for using data and AI within our customers. You'll take over value elements within engagements which run in close sync with the value advisor teams. You would need to align Databricks' capabilities with people, process, and technology investments to guide customer success both within existing clients and creating more aspiring opportunities with new clients.
  • Drive key success metrics: You'll shape value propositions, creating customer-centric Point-of-Views based on Databricks priorities and ensuring cohesive messaging that resonates with our target audience. 
  • Focused Account Planning: You'll help the account teams to become more strategic with our customers. For this you'll lead strategic account planning sessions, ensuring calibration between our advanced value-selling model, an understanding of our competitors, and an encompassing view of Databricks and the broader industry.
  • Bid Development: You'll help shape Framework Contracts, strategizing bids, and energizing account acquisition ventures.
  • Coaching and Empowerment: You'll support coaching and empowering our sales and technical communities to enhance their engagement within their respective clients.
  • Evangelism: You'll be the voice and ambassador for Databricks as The Data Intelligence Platform, sparking interest through captivating presentations, promoting collaborations, and amplifying our presence in different forums, events, and on social media

What we look for:

  • Minimum of 10 years of diverse IT experience, within a vast, international corporation.
  • Familiarity with designing distributed data architectures within public clouds like AWS, Azure and GCP. 
  • Experience with big data solutions and components (Data Lakes, Data Warehouses, Governance, Business Intelligence, Machine Learning & Generative AI, Streaming, Orchestration & ETL, Data Science)
  • Programming experience in Python, SQL or Scala 
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or strategy consulting role
  • Track record supporting enterprise customers on their digital transformation journey
  • Maintain broad connections and exchanges ideas with industry peers
  • Be a 'champion' for both customers and colleagues, operating as an expert and trusted advisor for data analytics architecture, design, and adoption of the Databricks Lakehouse platform

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 TwitterLinkedIn 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.

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Databricks Headquarters Location

San Francisco, CA

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Databricks Company Size

Between 2,000 - 10,000 employees

Databricks Founded Year

2013

Databricks Total Amount Raised

$3,996,999,936

Databricks Funding Rounds

View funding details
  • Series I

    $500,000,000 USD

  • Series H

    $1,600,000,000 USD

  • Series G

    $1,000,000,000 USD

  • Series F

    $400,000,000 USD

  • Series E

    $250,000,000 USD

  • Series D

    $140,000,000 USD

  • Series C

    $60,000,000 USD

  • Series B

    $33,000,000 USD

  • Series A

    $14,000,000 USD