Marketing Automation Platforms - Data Owner Lead

In this role, you will collaborate with key partners across products, processes, and analytics functions to identify, define, and classify the scope of data critical to your business area.

You will document requirements for the content and quality of data and coordinate with technology and business partners to deliver these requirements.

As a Vice President Data Owner Lead in the Marketing Automation Platforms, you will be accountable for all data created, provisioned, or consumed in one or more business applications.

You will serve as a subject matter expert to help define and classify data critical to your business area, supporting business objectives, advanced analytics, business operations, and reporting functions.

Job Responsibilities:


* Create plans to develop and deliver data for your business area to support business operations, strategic objectives, and advanced analytics.


* Work with key partners across products, processes, and analytics functions to identify, define, and classify the scope of data critical to your business area.


* Serve as a subject matter expert with multiple stakeholders to drive a strong understanding of the data and its use in your business area and across lines of business and functions.


* Document requirements for the content and quality of data for your business area, and coordinate with technology and business partners to deliver requirements.


* Develop processes and procedures in the product management lifecycle.

Identify, monitor, and mitigate data risks across the data lifecycle in your business area, including risks related to data protection, retention and destruction, storage, use, and quality.


* Partner with technology and business resources to resolve identified data issues in a timely and consistent manner.


* Manage direct or matrixed staff to execute data-related tasks.

Required Qualifications, Capabilities, and Skills:


* Bachelor's degree in STEM/ quantitative areas with 10+ years of related experience.


* Expertise in data technologies such as data warehousing, data management & governance, data integration, big data, business intelligence, and machine learning.


* Hands on experience with SQL, Python, Tableau and Alteryx.


* Knowledge of ETL principles or data structures.


* Experience with risk and control requirements.


* Excellent interpersonal & communication skills.


* Good business acumen and strategic thinking.

Preferred Qualifications, Capabilities, and Skills:


* Master's degree preferred.


* Experience in marketing and/ or financial services domain.


* Understanding and practical experience in big data engineering, analytics, machine learning, or Public Cloud related technologies & their applications.


* Analytical thinking and problem-solving skills.


* Knowledge of cloud-based technologies.


* Product lifecycle experience/area product management experience.

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