Search for AI & Data Manager roles in Cincinnati, specifically within Life Sciences R&D for full-time positions, requiring over 6 years of experience with advanced data technologies and no immigration sponsorship needed.

Okay, I've searched for AI & Data Manager roles in Cincinnati within Life Sciences R&D that are full-time, requiring over 6 years of experience with advanced data technologies, and with no immigration sponsorship needed. I have found 57 positions for you.

AI & Data Manager

Cincinnati, OH

Life Sciences

6 years + Experience

No Immigration Sponsorship

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The AI & Data Manager role in Life Sciences R&D Clinical at Deloitte is fundamentally focused on leading and delivering complex engagements that drive innovation in pharmaceutical research and development. This person is hired to identify and implement technology-driven solutions that enhance clinical processes, improve efficiencies, and ultimately contribute to the improved financial performance of clients. A critical aspect of the role is cross-functional coordination, which means collaborating with various stakeholders and engineering teams to craft tailored solutions that align with clients' objectives. The candidate will likely face challenges in managing diverse teams across multiple locations and navigating the complexities of introducing advanced technologies like AI/ML into existing workflows. Success in this role involves not only delivering impactful projects but also contributing to thought leadership and business development activities, indicating that the candidate's ability to influence and steer discussions will be equally important as technical project delivery. Candidates must bring a blend of strategic acumen, technical expertise, and strong interpersonal skills to foster collaboration and derive actionable insights for clients.

Company Analysis:

Deloitte is positioned as a leading global consulting firm that drives progress through innovation and integrity. The firm's commitment to empowering its employees with diverse talents reflects its emphasis on collaboration, continuous learning, and creating impactful solutions for clients. This environment is likely fast-paced and mission-driven, which will necessitate that someone in the AI & Data Manager role not only excel in technical and managerial capabilities but also resonate with Deloitte's values of integrity and excellence. The company supports a culture of thought leadership and proactive engagement in one of the most ethically charged industries: healthcare. Observing the role within the organizational structure reveals that this position is not merely an individual contributor role; it directly influences project direction and client outcomes while also contributing to the development of junior staff. The strategic alignment of this role with Deloitte’s goals of driving forward the evolution of life sciences through innovative data solutions underscores the importance of this position in a landscape focused on enhancing health and well-being.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to introduce a new technology into an existing workflow. What challenges did you face and how did you resolve them?
Describe a project where you managed diverse teams across multiple locations. How did you ensure effective communication and collaboration?
Can you provide an example of a time when you identified inefficiencies in a process? What steps did you take to improve it?
How would you approach engaging stakeholders to manage their expectations during a complex project in pharmaceutical R&D?
What strategies would you employ to ensure successful implementation of AI/ML technologies in clinical operations?
Explain your experience with data-driven trials. How have you utilized data insights to drive clinical development decisions?
What’s your understanding of Data Mesh and how it could be applied in life sciences?
Imagine you are tasked with improving patient recruitment for a clinical trial. What data-driven strategies would you suggest implementing?
If you faced resistance from a client when proposing a new solution, how would you address their concerns and win them over?
Why are you interested in working at Deloitte specifically, and how do you see yourself contributing to our AI & Engineering team?
What do you think are the most pressing health challenges today, and how should companies address them through technology?
How do your personal values align with Deloitte’s mission of driving progress and creating a strong impact in society?
What impact do you see emerging technologies having on the future of R&D in life sciences, particularly in relation to patient outcomes?
What questions do you have about the team you would be working with and how they collaborate to achieve project goals?
Can you describe your most significant achievement in your previous role that relates to the responsibilities outlined in this position?

Job Details

Overview Company

AI & Data Manager

$130.8k/y-$241k/y

Deloitte

6 months ago

Highlight

HybridFull-time6+ yearsSenior

Summary

Deloitte is seeking an AI & Data Manager - Life Sciences R&D Clinical (Pharma) to join their team in Cincinnati, OH. The role involves leading and delivering engagements that identify, design, and implement creative business and technology solutions for clients in the life sciences sector.

About the Role

As a Manager, you will lead and deliver engagements or components of large, complex engagements. You will craft solutions for clients, guide and oversee your team's deliverables and recommendations, and manage daily stakeholder relationships. You will also contribute to Deloitte's thought leadership, play a key role in business development activities, and be responsible for developing junior staff.

About You

Required:

6+ years of relevant professional experience.
4+ years of experience in Life Sciences Pharmaceutical R&D clinical domain.
Experience with introducing new technologies like GenAI, AI/ML, and automation into existing drug development and business processes.
Experience with operating model transformations and evaluation of business processes related to drug development.
1+ years of experience leading, managing, and delivering complex engagements with resources in multiple locations.
Bachelor's Degree.
Ability to travel up to 50% on average.

Preferred:

Techno-functional knowledge of clinical data flow, data architecture, and data mapping.
Experience with solutions for data-driven trials and clinical development insights.
Understanding of emerging technologies, such as GenAI, and advanced data architectures.
Ability to create critical collaterals for client workshops and customer interactive sessions.
Presentation skills with a high degree of comfort with both large and small audiences.
Demonstrated experience with the sales cycle by helping frame client opportunities.
An advanced degree in an area of specialization.

Benefits

Eligibility to participate in a discretionary annual incentive program.
Comprehensive benefits package including medical, dental, and vision coverage.

Deloitte

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Cincinnati, OH