Description

Who are we, and what do we do?
Corteva Agriscience is the only major agriscience company in the world completely dedicated to agriculture. Our purpose is to enrich the lives of those who produce and those who consume, ensuring progress for generation to come. Our inspiration is to be a market shaper, driving the next generation of agriculture products that help farms and farmers flourish and through partnering with society becoming the most trusted partner in the global agriculture and food community.

With a global footprint and over 22,000 employees, Corteva is building the future of agriculture and leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.

Corteva Agriscience is searching for a Managed Data Services Lead. The Managed Data Services Lead is the leader to foster value creation by means of the organization's data assets and platforms.

This role can accommodate a flexible work arrangement where you may work multiple days a week from home. This position is also open to be filled remotely, and can be based anywhere in the United States. If hired, you may be required to travel as necessary to support business activities.

Key Responsibilities - What you will do to help us grow!

• Work organization and prioritization
• Helping staff overcome impediments and realizing resolution
• Building high performing team and metrics against which to measure
• Change management and governance across datastores
• Datastore performance, reliability, and availability
• Metrics against which to measure
• Communication and Collaboration with other infrastructure, cloud services, and security teams
• Communication and Collaboration with business and application teams

Qualifications

Qualifications and Experience - What you'll bring to the table!

Education
A Bachelor's or Master's degree in business administration, computer science, data science, information science or related field, or equivalent work experience. Academic qualification or professional training and experience in data science and/or analytics is desirable.

Experience

• Ten or more years of professional experience, ideally in leadership roles focused on data
• Five or more years leading cross-functional teams and programs, operating and influencing effectively across the organization and within complex contexts.
• Experience in integrating complex processes and information strategies, and/or designing strategic metrics and scorecards.
• Industry experience desirable, but not required.

Knowledge/Skills

• Understanding and passion to Shift left (ability to communicate this concept)
• Has worked with datastores in both Public Cloud, ideally Azure, and On-Premise
• Solid understanding of SaaS, PaaS, Managed, Leveraged based datastores
• Multiple datastore technologies experience (MS SQL Server, Oracle, DB2, Sybase)
• Solid understanding of OpEx versus CapEx models
• Solid understanding of De-centralized versus Centralized controls and models
• Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
• Demonstrated leadership; proven track record of leading complex, multidisciplinary teams in the design, delivery and adoption technical solutions.
• Proven data, analytics, and software development literacy - The ability to describe business use cases/outcomes, data sources and management concepts, analytical approaches, and automation opportunities including, but not limited to machine learning (ML).
• Analytical skills - Outstanding analytical and problem-solving abilities.
• Familiarity with business information generation and analysis methods.
• Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders.
• Proven record of effective leadership, including the ability to balance team and individual responsibilities, build teams, and to get things done through others not directly under supervision.
• Broad experience in multiple competency areas of data, analytics, and automation delivery. Examples are data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance and enterprise architecture frameworks, AI/ML engineering practices, platforms and tools.
• Take the next step to #GrowWhatMatters in your career with Corteva and apply today. We look forward to seeing your application.

Work/Visa Sponsorship not offered for this role

Benefits:
Let's peek at how you can grow your wellbeing, health, and future at Corteva!

• Strike a better work-life balance with robust time off benefits including paid maternity, paternal and family illness leave
• Prepare for your future with our competitive retirement savings plan, tuition reimbursement program, and more
• Enjoy access to health benefits for you and your family on your first day of employment
• And much, much more!

Ready to grow your perspectives, impact and career? We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Start by applying to this opportunity today!

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