Data & AI Technology Sales Director

Accenture•St. Louis, MO

6d•$136,800 - $237,600•Hybrid

About The Position

Accenture is seeking a growth-focused sales professional to drive business expansion in Data & AI technology sales. This role involves managing all phases of the sales cycle, from qualification to closing, by applying deep sales process and technical expertise. The Sales Director will develop relationships with key buyers and decision-makers at new and existing clients, leveraging a differentiated roadmap and framework with the latest cloud-based technologies. As a Sales capture, you will originate new sales opportunities, lead early-stage client positioning, and develop and execute origination strategies. You will also work with the sales team to ensure sales closure and may focus on a single large account, utilizing content knowledge and client relationships to originate and close opportunities. The role requires creating solutions for complex technology business problems, interacting with senior management, determining pursuit strategies, developing client messaging, and applying industry-leading Snowflake or Databricks transformation strategies. The Sales Director will have latitude in decision-making and determining objectives and approaches for critical assignments, operate within large teams, and direct specific team sales activities. Mobilizing Ecosystem partners (AWS, MS, SAP, etc.) for driving larger Mega deals and driving business outcomes tied to RPO (remaining performance obligations) of the ecosystem is also a key responsibility. Travel may be required, varying from 25% to 100% depending on business need and client requirements.

Requirements

Minimum of 8 years of experience in selling data solutions, analytical data warehouses, cloud data migration solutions, analytics/reporting solutions to harness the power of AI and GenAI for our clients.
Minimum of 8 years’ Sales Pursuit Management experience.
Minimum of 5 years previous experience of selling into any of these industries is required; Financial Services, Communications/Media/Technology, Products (Consumer, Retails, Industrial), Public Sector, Resources (Utilities, Oil & Gas, Energy)
Minimum of 2 years’ experience in direct sales, preferably with quota of $10M+.
Minimum of 2 years’ experience managing the entire sales cycle (customer identification, outreach, proposal creation, contract negotiations, closing, metrics reporting).
Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate’s degree, must have minimum 6 years work experience).

Nice To Haves

Thought leadership in data migration, modernization and managed services, building new data architectures (Mesh/Fabric), data products and marketplaces, cloud data & analytics platforms and use cases, AI and Gen AI foundation model services.
Experience working within G2000 customers.
Experience with C-Level client relationship building and relationship management.
Proven ability to operate within a team-oriented environment.
Demonstrated commitment, teamwork and collaboration in a professional setting; either military or civilian.
High energy level, focus and ability to work well in demanding client environments.
Excellent communication (written and oral) and interpersonal skills.
Strong leadership, problem solving, and decision-making abilities.
Unquestionable professional integrity, credibility and character.
Strong Ecosystem selling experience with AI led Data engineering transformational programs.

Responsibilities

Create solutions to complex technology business problems/opportunities requiring in-depth knowledge of client buyer needs.
Interacts with senior management levels at clients and within Accenture, determines pursuit strategies, develops client messaging plans and relationships, and applies industry-leading Snowflake or Databricks transformation strategies and practices.
Has latitude in decision-making and determining objectives and approaches to critical assignments.
Operates within large teams and directs specific team sales activities.
Ability to mobilize the Ecosystem partners ( AWS , MS , SAP etc ) for driving larger Mega deals – driving business outcomes tied to RPO ( remaining performance obligations) of the ecosystem.