Full Job Description
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At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers.
Technology – Head of Data – Wells Fargo Asset Management
WFAM is looking for a strong senior technology leader with extensive Data management experience. The candidate will define and lead WFAM Data strategy implementation to deliver common, secure, consistent data capabilities across WFAM. The role will report directly to the CTO of WFAM.
The primary task is to transform our data capabilities, provide appropriate innovative methods and build a state of the art data driven organization. The role will ensure that WFAM can meet challenges of the rapidly changing financial services landscape.
As the head of the key engineering group, you will work closely with the software engineers, product managers, business leaders, data architects, and the larger technology organization to get high-quality data solution build out for WFAM.
As a transformational leader you’ll focus on technical mentorship and coaching. Above all, you are a change agent who pushes yourself and those around your for excellence.
WFAM is embarking on an exciting journey and building a Platform of the Future. This is an amazing opportunity for a strong technical leader with a passion for Data.
Lead WFAM Data strategy implementation to deliver common, secure, consistent data capabilities across WFAM.
Drive Application rationalization portfolio by streamlining processes and data.
Develop strategic roadmaps for Asset Management domain, drive improvement in data management, efficiency, utility and availability of data to the business.
In partnership with the boarder Wells Fargo Architecture and Data strategy teams rollout Data Architecture processes and practices to create reusable data capabilities, to support data delivery automation, improvements in data quality and systems capabilities, reduce cross system data redundancy.
Ownership of Data Governance and Data Management principles and frameworks with objective to reduce operating costs, mitigating risks and improve the performance profile of the business solution.
Enable the management of data as corporate asset: define metadata, identify SOR/ADS, DQ rules, data lineage, controlled vocabulary and etc. Leverage existing enterprise solutions where they exist.
Prevent the proliferation of disparate products and technology strategies.
Build strong relationship with the business, partner with stakeholders, engage in strategic initiative, and provide innovative and robust data solutions.
Collaborate with internal teams, bring critical day-to-day leadership and thinking to the table, creating strategically and technologically sound Target Architecture.
Recruit, mentor and develop talent by setting appropriate goals and expectations for the team.
Act as internal expert to technology and business groups, enabling and supporting the adoption of the latest trend in data management techniques and architecture.
Build and maintain data heavy analytics and applications to support investment process including research, portfolio management, risk management and back-office functionality.
Act as in house expert in traditional relational DBMS as well as the lead for unstructured database applications utilizing big data technology.
Demonstrated knowledge of data modeling concepts and ETL/ELT frameworks (Informatica, ABInitio, Pentaho and etc.).
Knowledge of Data visualization tools and processes (Qlik, Tableau and etc.). Experience in finding patterns in data, data profiling, data mining, analytics.
Knowledge of various Data Architecture patterns including ODS, Data Lake, Data Warehousing, Data Vault, and OLAP.
Proficiency in two of the following Data Management technologies: Hadoop, MS SQL, MariaDB, MongoDB, Cassandra and etc.
Experience of transforming traditional Data Warehouses to Big Data & Stream Data based approaches in large organizations and proven track record of managing risks and data security. Familiarity with modern engineering approaches to Information Architecture/Data Management and Schema-less Messaging, i.e. Kafka, Java serialization/deserialization, JSON, XMI.
Demonstrated experience in Master and Reference Data Management, Data Quality (DQ), Metadata Management, Data Taxonomy, Data Modeling, ETL design.
Strong DB skills with SQL and NoSQL databases.
Ability to convey complex technical information to both technical and nontechnical audiences. Exceptional ability to rank strategic and operational choices – must be hands-on when needed.
Deep understanding of Agile project management and SDLC processes /practices.
Wide experience with Data Governance processes and best practices, including capturing identifying data flows, identify gaps in internal Data landscape, data dictionaries and SOR/ADS, increase efficiencies across data domains and elimination of duplicate data platforms.
Experience in building horizontally scalable, highly available applications.
Strong communication and relationship building capabilities.
Superior organization skills and an affinity for details.
Staff / Resource management and people skills as well as technical problem solving skills to navigate issues.
As a Team Member Manager, you are expected to achieve success by leading yourself, your team, and the business. Specifically you will:
Lead your team with integrity and create an environment where your team members feel included, valued, and supported to do work that energizes them
Accomplish management responsibilities which include sourcing and hiring talented team members, providing ongoing coaching and feedback, recognizing and developing team members, identifying and managing risks, and completing daily management tasks
12+ years of application development and implementation experience
8+ years of securities market industry experience, capital markets industry experience, or a combination of both
7+ years of management experience
10+ years of onshore application development process experience
10 + years of Core Java experience
10+ years of investment industry experience
8+ years of data management experience
8 + years of experience designing software solutions using software architecture design principles
10+ years of natural gas trading experience
5 + years of experience with Agile tools
10+ years of C#.NET experience
Advanced experience in capital markets business and processes
Basic knowledge and understanding of mathematical modeling
Basic knowledge and understanding of SEC, FNRA, and international regulations for building technological solutions
Knowledge and understanding of financial planning: portfolio management or research
Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship
Engineering and architecture experience with big data
A Master's degree or higher in science or technology
Other Desired Qualifications
Extensive knowledge and understanding of Asset Management or Hedge Funds industry
10+ years of experience working with market data
Contributing and influencing development of data
Experience with delivering applications using SOA
Experience with delivering applications using distributed cloud framework
Excellent problem solving and troubleshooting skills
Demonstrated ability to collaborate with teams spanning a range of locations
Awareness of real-time and batch distributed technologies
10+ years of experience as the data domain champion responsible for data governance and stewardship
10+ years of experience working with Market Data sourcing and management
Awareness and current knowledge of ML and AI trends in investment industry
Experience with technologies such as C#, R, Python
NY-New York: 150 E 42nd St - New York, NY