ANZ Partner Director, Consulting & SI Partners

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Sydney, New South Wales, AUS
In-Office
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

SLSQ226R509

Mission

The Partner Director of ANZ Consulting & Systems Integrator (SI) Partners will build an ecosystem of partners in ANZ to help Databricks rapidly achieve significant scale and deliver success for customers who are transforming their businesses using Data and AI.

  • Define the strategy and plan in collaboration and alignment with ANZ sales and business development leaders
  • Develop a compelling partner value proposition and prioritization that produces a mutually beneficial and meaningful relationship to efficiently address the market
  • Identify, recruit, form, and manage relationships with a portfolio of the most impactful and productive ANZ-based partners aligned to our focus accounts and cloud partners. This will include Global SI partners managed by the Partner team and Regional SI partners managed in the region to strike the right balance of reach and depth.
  • Enable partners to participate in joint sales and presales with our direct teams. Define training programs and joint engagement models for partners to deliver customer success.
  • Define and execute campaigns that build, mature, and close opportunities using ‘sell with’ motions with partners.
  • Work to establish Databricks as the data platform for Data and AI that powers their own solutions to customers, resulting in ‘sell to’ and ‘sell through’ opportunities with partners
  • Work with the product, engineering, marketing, sales, presales, post-sales, finance, and legal teams to evaluate, explore, and execute partnership opportunities.
  • Collaborate with Cloud partners (e.g. AWS, Microsoft Azure, and GCP) and relevant Software partners to align offering development and GTM efforts
  • Understand the competitive landscape and identify strategic opportunities and threats while building partnerships that enhance Databricks' own offering.

Impact you will have

  • Drive sourced, influenced, and direct sales consumption and bookings exceeding targets as directed by the business
  • Develop an overall partner strategy for ecosystem of partners and a long range 3 year plan to determine the right success metrics for each of these years in terms of revenue (sourced, influenced, and direct) design wins, customer adoption and growth, etc.
  • Participate in a robust ANZ partner ecosystem that enables Databricks to rapidly and efficiently scale in the region and simultaneously creating meaningful business for partners
  • Dramatically scale partners in ANZ which become trusted sales, delivery, and integration partnerships.  
  • Scale exiting partner ecosystem, add new partners to grow net new logos and existing use cases as the ANZ business partner to the Country MD. 

Responsibilities

  • Develop an Ecosystem strategy and articulate a value proposition for Databricks ANZ assigned partners
  • Lead both partners' ‘sell with’ and ‘sell to’ motions
  • Generate new growth opportunities and expand the reach of Databricks through partnerships that broaden the distribution of Databricks to drive increasingly large opportunities, higher ARR, and consistent growth
  • Work extensively with sales, presales, PS, and marketing teams to identify, land, and expand customers

Competencies / Requirements

  • 10+ years of experience in business development at a top technology or other market-leading company
  • Experience working with both GSI and RSI partners in a rapidly growing technology company that achieved a successful outcome, preferably in the big data and AI market
  • Ability to strategically identify, leverage, and grow trusted and meaningful relationships with selected ANZ Consulting & SI partners, preferably within the big data and AI market
  • Ability to articulate how platform addresses customer value to persuade partner industry/practice leaders and account teams to invest time with Databricks
  • Ability to flourish with minimal guidance, be proactive, and handle uncertainty and ambiguity.
  • Adept at influencing others, both externally and internally; ability to work effectively and build consensus across various functional groups to achieve goals.
  • Results-driven, detail-oriented, organized self-starter. Creative and critical thinker

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.

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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