Sr. Data Steward, Annuity Retail IQ

Be Aware of Fraudulent Recruiting Activities
:
Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview.

Please contact Lincoln's fraud team  if you encounter a recruiter or see a job opportunity that seems suspicious.

Select how often (in days) to receive an alert:

Alternate Locations: Fort Wayne, IN (Indiana);
Greensboro, NC (North Carolina);
Hartford, CT (Connecticut)

Work Arrangement:

Hybrid :
Employee will work 3 days a week in a Lincoln office

Relocation assistance: is not available for this opportunity.

Requisition #:76315

• You will lead business analysis efforts supporting the Annuity production environment, serving as a data subject matter expert and partnering with business and IT teams to resolve production issues, data discrepancies, and other business impacts.
• You will lead analysis and research for strategic initiatives, helping define requirements, use cases, and expected outcomes while ensuring alignment with enterprise data strategy and governance standards.
• You will drive the data delivery strategy across multiple agile teams, contributing to target-state design, data roadmaps, and solutions that enable data-driven decision-making.
• You will partner with business stakeholders, data governance, and IT leaders to ensure data solutions align with business needs, governance standards, and long-term strategic objectives.
• You will lead data stewardship efforts focused on data architecture, lineage, traceability, quality frameworks, and overall data integrity across the Annuity organization.
• You will support the development of AI-ready data capabilities by identifying data gaps, improving data readiness, and aligning priorities with future enterprise initiatives.
• You will champion continuous improvement by identifying opportunities to enhance processes, strengthen data quality, improve reporting capabilities, and optimize operational efficiency.
• You will serve as a trusted resource and advisor to business partners, analysts, and project teams, leading collaboration, facilitating issue resolution, and supporting the successful delivery of data-focused initiatives.

Must-have experience (Required):

• 4 Year/Bachelor’s degree or equivalent work experience (4 years of experience in lieu of Bachelor’s)
• 5 – 7+ Years of experience in business analysis that directly aligns with the specific responsibilities for this position
• Strong SQL skills with applied usage across various platforms
• Confident, comfortable communicator with strong written and verbal communication skills
• Strong presentation skills with demonstrated ability to influence at all levels of management through clear, informed and logical discussions/presentations.
• Strong project management skills including critical ability to coordinate and balance multiple projects in a time-sensitive environment, under pressure, and meeting deadlines
• Strong relationship management skills with internal clients (e.g. senior management, peers, and colleagues) with the proven ability to develop creative and collaborative approaches.
• Demonstrates understanding of cloud services and concepts and supporting business applications in a cloud environment

Nice-to have Experience (Preferred):

• Experience supporting Annuity product build and administrative systems a plus
• Applied use of AI tools to contribute/support to personal tasks and team activities
• Experienced business analysis experience with ETL and data…