Mendeley

Deloitte's AI and Data Operations offering provides our clients a proven approach to optimizing, modernizing and operating their data and analytics capabilities, as well as their platforms and infrastructure.. The AI and Data Operations team leverages the power of data, analytics, Intelligent automation, science and cognitive technologies combined with the Data Dev Ops approach to help uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.. + Provide capacity by embedding talent in our client organizations to quickly scale data, business intelligence, visualization and analytical teams up and down, on-demand. + Experience with Data Integration and Big Data technologies including some (not all) of the following - ETL/ELT tools like Informatica and Talend, Spark, Airflow, Cloud Based Data Integration tools like AWS Glue, GCP Data Flow and Azure Data Factory. + Should be well versed with ITSM (IT Service Management) tools and the individual modules of ITSM

transportation

**Auto, Transportation, Hospitality Data & Analytics Dev Ops Senior Manager**
Auto, Transportation, Hospitality - Data & Analytics Dev Ops Senior Manager
The Consumer industry is focused on serving the changing consumer, who has rapidly evolving needs, behaviors and preferences for products, services, and experiences. Our Consumer Products and Retail sector is undergoing a transformation fueled by an empowered consumer, technology advancements, market fragmentation and blurring lines across the industry. Organizations are racing to compete for the consumer's attention and win share of wallet, which is creating unique challenges to innovate, modernize technology and transform business models with the winners ultimately seeing this as a consumer-led renaissance.
The Team - AI and Data Operations
We establish and operate the data fabric of our client's largest and most complex deployments enabling organizations to adapt to the rapidly changing business needs using their core data platforms, applications and solutions. And we deliver this using a combination of people, automation, AI and industry leading practices to enable intelligent operations across all levels of enterprise.
We provide flexible, long-term, staffing models that allow us to optimize the data life cycle, drive agility and scale and put data in the hands of decision makers faster and drive enhanced analytics insights.
Deloitte's AI and Data Operations offering provides our clients a proven approach to optimizing, modernizing and operating their data and analytics capabilities, as well as their platforms and infrastructure. Deloitte supports Clients as they transition their data and analytics investment and operational focus from routine capabilities to a shift to driving business value and innovation.
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI and Data Operations team leverages the power of data, analytics, Intelligent automation, science and cognitive technologies combined with the Data Dev Ops approach to help uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy and Analytics and Cognitive practices, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
The AI & Data Operations team will work with our clients to:
+ Stand up and operate their data and analytics related capabilities, applications and infrastructure by providing multi-year managed services leveraging the constructs and principles of Data Dev Ops
+ Provide capacity by embedding talent in our client organizations to quickly scale data, business intelligence, visualization and analytical teams up and down, on-demand
+ Support as-a-service based subscription models at scale that include analytics and data assets supporting industry and function-specific needs
Work you'll do
As a Senior Manager, you will lead and deliver large, complex client engagements that identify, design, and implement creative business and technology solutions for large companies. You will contribute to the firm's growth and development in a variety of ways including:
Engagement Management:
Lead engagement planning and budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solutions from top management levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk.
Relationship Management of executive clients and sponsors:
Participate in Business Development, develop and maintain contact with top decision makers at key clients, organize and lead pursuit teams, participate and lead aspects of the proposal development process, contribute to the development of proposal pricing strategies.
Practice Development & Eminence:
Develop practical solutions and methodologies, develop "thoughtware" and "point- of-view" documents, participate in public speaking events, get published in industry periodicals.
People Development:
Perform the role of counselor and coach, provide input and guidance into the staffing process, actively participate in staff recruitment and retention activities, provide leadership and support for delivery teams and staff in local offices.
Qualifications
Required:
+ Experience with Data Integration and Big Data technologies including some (not all) of the following - ETL/ELT tools like Informatica and Talend, Spark, Airflow, Cloud Based Data Integration tools like AWS Glue, GCP Data Flow and Azure Data Factory
+ Experience implementing or operating data and analytics solutions using cloud platforms (AWS, Azure, GCP)
+ Experience working with DevOps methodology and tools like GitHub, Jenkins, Maven, Bitbucket, etc.
+ Should be well versed with ITSM (IT Service Management) tools and the individual modules of ITSM
+ Incident Management
+ Change Management
+ Problem Management
+ Escalation Management
+ Release Management
+ Configuration Management
+ Must have a good understanding of Data Integration and Big Data technologies
+ Should be experienced in the data integration, provisioning and load processes of Data Warehouses, Data Marts and Data Lakes
+ Up to 50% travel required
+ Bachelor's Degree or equivalent professional experience
+ Limited sponsorship may be available
Preferred:
+ Strong project management and delivery experience, including budget oversight and staffing of project teams including time management.
+ Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
+ Previous experience mentoring, training and developing junior members of the team; experience in employee performance reviews.
+ Ability to work independently and manage multiple task assignments.
+ Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint). Working knowledge and experience of MS Office applications and training development tools.
+ Located within a commutable distance of a Deloitte office.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
**Auto, Transportation, Hospitality Data & Analytics Dev Ops Senior Manager**
Parsippany-Troy Hills, NJ Full time Published on 24 Jan 2022
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