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Deloitte

Audits companies and advises on tax and technology

Life Sciences Solutions Engineer - AVP, Commercialization

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • Ability to work independently and collaboratively as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to mentor and provide clear guidance to others.
  • At least 8 years of experience in enterprise data architecture, data strategy, analytics, artificial intelligence or machine learning, and digital transformation.
  • At least 6 years of experience in life sciences commercial transformation projects.
  • At least 6 years of experience with life sciences commercial data and platforms, including customer relationship management platforms such as Veeva or Salesforce, Customer Master Data Management platforms such as Reltio or Informatica, IQVIA data, claims data, and specialty pharmaceutical data.
  • At least 4 years of experience leading, managing, and delivering complex technology engagements with resources in multiple locations.
  • At least 4 years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals.
  • At least 4 years of experience with the sales cycle by helping frame client opportunities and participating in pursuit teams, including creating proposal content for client discussions.
  • A bachelor's degree in Computer Science, Engineering, Data Science, or Artificial Intelligence.
  • Ability to travel up to 50% on average, based on the work and clients and industries or sectors served.

Responsibilities

  • Lead artificial intelligence and data engagements for life sciences and pharmaceutical clients, emphasizing commercial artificial intelligence and data transformation, analytics, and digital enablement.
  • Shape and deliver use cases across account-based selling, healthcare professional and healthcare organization affiliations, dynamic targeting, segmentation, call planning, brand planning, sales and marketing optimization, next best action, and forecasting.
  • Translate business problems into scalable artificial intelligence, data, and digital solutions.
  • Work across strategy, product, data, engineering, and client stakeholder groups to define solution approaches and delivery plans.
  • Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for artificial-intelligence-enabled transformation.
  • Support broader artificial intelligence and data pursuits and engagements across life sciences as needed.
  • Lead engagement planning, budgeting, staffing, and team mobilization for data and artificial intelligence initiatives.
  • Define deliverable structure and content; manage quality, timelines, economics, and engagement risk.
  • Manage day-to-day interactions with executive clients and sponsors and facilitate buy-in for proposed solutions.
  • Lead business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input.
  • Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership.
  • Lead workshops, executive presentations, and stakeholder sessions.
  • Mentor junior practitioners and contribute to practice, offering, and go-to-market development.

Desired Qualifications

  • Experience with cloud computing platforms, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Experience leading executive presentations and client workshops for technical and non-technical audiences.
  • Experience developing proposals or solution materials for data and analytics professional services engagements.
  • Experience creating client-facing materials for workshops and interactive sessions.
  • An advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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