Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology/Chief Data Office team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions.
Your Team & Role
As a Lead – Dev Ops Engineer in the Prudential Chief Data Office (CDO) organization, you will partner with product owners, designers, engineers and delivery professionals to manage, improve and optimize the Prudential enterprise Data Governance suite of technology products & solutions. You will produce DevOps solutions that enable us to deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Implement a best-in-class operational support model for the suite of enterprise data governance tools in place for Prudential which includes the enterprise data catalog tool, metadata management tool, master data management tool, and data quality profiling tool.
Design/support leadership vision for Operational technical capabilities for the end-to-end automation of data governance, data quality, and master data management strategies including considerations for incorporation of best practices, workflow automation, scalable & performant solutions, incorporation of adherence to data privacy & compliance requirements, and support for AI/ML capabilities.
Establish operational run-book for all existing enterprise data services and establish process for monitoring the run-book progress, verifying successful execution of data processes, conformance to SLAs, and handling of failures or delays. Enterprise data services to be contained in the run-book include scheduled scanning processes running against target sources, data movement/onboarding processes to facilitate user access to the data, scheduled data quality profiling jobs against target sources, data ingestion processes for customer master data management processes, & processes to publish data to the enterprise data marketplace.
Forward-thinking & planning for continual extension of Operational processes as additional new capabilities are enabled.
Coordinate with underlying infrastructure and corporate service teams on their support level to the enterprise data team’s tools, including SLAs, communication vehicles, outage handling processes, version upgrade management, etc.
Manage service-levels provided by the enterprise data team to all Prudential groups utilizing the enterprise data tools; includes the original establishment of the SLAs (in coordination with underlying support groups), as well as the ongoing monitoring of service levels, and progressively improving the service levels over time.
Implement automated process & technical solution for capturing system-level data in order to publish operational KPIs to establish service-level baseline as well as to demonstrate improved service levels over time. Includes the implementation of associated KPI visualization dashboards for Prudential leadership consumption.
Coordinate with Global Technology infrastructure teams to operationalize application monitoring & alerting capabilities.
Build out the end-to-end support process for handling tool outages (planned & unplanned) including engagement of all required support teams, establishment of proper severity level for an outage, execution of all user communications, & engagement of the enterprise incident manage team for Sev-1 situations.
Perform product/tool version management by coordinating with all of the product vendors on their product version roadmaps & coordinating the Prudential implementation of version upgrades with the Data Governance team, full user community, as well as with the underlying support groups.
Innovating, designing, and building DevOps solutions for the enterprise data management team. Drive continuous quality by integrating code quality, security, and automated testing capabilities; remove technical impediments.
Introduce DevOps standard methodologies and automation that will inspire change and drive DevOps transformation.
Coordinate the installation of new Data Governance products/tooling with the underlying infrastructure provisioning & support group(s).
Collaborate with product owners in understanding needs and defining features stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact and support the goals.
Manages the prioritization, coordination, and implementation of bug fixes & small enhancements as required for the successful Operations of the enterprise data tools.
Ensures that production deliverables being implemented are stable, scalable, and supportable via Data Run Operations, and follow and well-defined handoff process.
Ensures the Data Operations function produces quality artifacts pertinent to Runbooks & Playbooks in support of the enterprise data assets.
Develop corporate platform standards based on cost, capability, and capacity requirement to drive business value; document solutions to support the adoption of developed solutions
Design, implement, and ensure ongoing support for adherence to all regulatory/compliance data security & privacy controls required across the end-to-end Data Governance tools – including PII, CCPA, CPRA, GDPR, and other privacy regulations.
Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day.
Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
Use programming languages including but not limited to Python, Java, Node, Groovy, Shell/Power Scripting.
The Skills & Expertise You Bring
Bachelor of Computer Science or Engineering or experience in related fields
Enterprise-level implementation of Data Governance/Enterprise Data Catalog tool and integration with diverse corporate data sources on numerous platforms
Ability to coach others with minimum guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization
Experience with agile development methodologies and Test-Driven Development (TDD)
Experience with problem & incident management, ITSM, change advisory boards, SLAs, KPIs, & vendor management
Cloud experience including the data governance tools as well as hosting of source systems/data sources
Experience coordinating diverse set of technical resources across multiple teams, including coordination of work with off-shore resources as needed
Knowledge of enterprise data governance/data management, & insurance/financial services business concepts that are needed for making sound decisions in the context of the company's business
Master Data Management implementation & integration (support & coordination capacity)
Coordination/implementation of required data privacy regulations through the enterprise data governance tool suite
Implementation of all required corporate IT system and data controls & implementation of best practices
Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
Identify and remove complex technical impediments that may arise within the team
Excellent problem solving, communication and collaboration skills
Advanced experience and/or expertise in the several of the following:
DevOps Platform: Industry standard CI/CD solutions, platforms and tools (Atlassian, Sonar, Artifactory, CheckMarx) to support lifecycle. Experience/knowledge in build frameworks like Maven, Gradle, Nuget, NPM
Knowledge of infrastructure fundamentals of Linux/Unix operating systems, database, network and TCP/IP, and common communication protocols
Networking, TCP/IP and other common Communication Protocols: OSI Model, 3 Way Handshake, Stateful vs Stateless, Proxy Firewall
Containers: Docker, Kubernetes
Operationalization & Monitoring: ITIL, Change Incident, Problem management, industry standard tooling
Application Programming Interfaces (API): Consumption & Development
Test/Quality capabilities & methodologies (functional & nonfunctional) and associated tooling including quality automation
Infrastructure & Cloud Security best practices including DevSecOps
Software Development Life Cycle (SDLC): Development and Design Fundamentals including SDLC and coding standards
Cloud Computing: Understanding and knowledge (of 1 or more): AWS, Azure or GCP
Experience with Informatica’s Enterprise Data Catalog (EDC), Informatica Axon, Informatica IDQ, Informatica CDQ, & Informatica Cloud Data Governance and Catalog (CDGC)
Experience with AWS enterprise data platform tools such as Redshift & S3
Experience working as a team player in a global role/enterprise level
Proactive results-oriented problem solver with great attention to detail
Automate unit/integration test cases, solve problems, & add value with automation
Finance/Insurance industry experience is a plus not a must
You’ll Love Working Here Because You Can
Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you.
Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $129,900.00 to $193,300.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services.
We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law.
The Prudential Insurance Company of America, Newark, NJ and its affiliates.
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