About Us:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights:
- Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
- Headquartered in Boston, with 4000+ data science professionals across 11 global offices
- Winner of 3X NVIDIA AI Partner of the year award
- Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
- Winner of 3X AWS AI/ML Partner of the Year award
- Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
- Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
- Winner of Best in Business Award in Established Business category by INC., 2022
- Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan
- Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
- Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform
Experience Level: 8+ Years of experience
In this role, you will
- Lead and provide direction to cross functional teams to strategize, plan, and execute a variety of programs, services and initiatives
- Drive accountability for assigned initiatives, limit risk exposure, and create efficiencies as appropriate
- Review strategic approaches and effectiveness of support function and business performance
- Perform assessments through fact finding and data requiring creative approaches to solving complex issues and unique challenges, and develop appropriate solutions or recommendations
- Make decisions in complex and multifaceted situations requiring solid understanding of business group's functional area or products, facilitate decision making and issue resolution, and support implementation of developed solutions and plans
- Strategically engage with all levels of professionals and managers across CTO, ACT, DTI, DS&S, and partner teams to drive strategic initiatives
- Lead team meetings or steering committee to facilitate decision making and support implementation of recommendations and plans
- Provide direction to a cross functional team using business expertise
Required Qualifications
- Experience in Business Execution, Implementation, or Strategic Planning or equivalent demonstrated through one or a combination of the following: work experience, training, military, education
- Experience in Power Point in pulling together executive level communication
- Experience in Confluence and Jira management
Desired Qualifications
- Experience with on-prem or cloud data and AIML technologies and solution
- Experience in Cloud implementations with one or more of the following platforms – Google, Azure, AWS, Cloud Foundry, Kubernetes
- Resourceful; able to use relationships, information, and tools to learn, navigate organizational structures, create effective plans, build new relationships, and address complex challenges.
- Effective communicator, both orally and in writing, with an executive presence and ability to ask well-crafted questions and present ideas in a clear and compelling manner.
- Proven success working horizontally across a large, complex organization and participating in enterprise-wide implementations.
What is in it for you:
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a leader of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud