Digital Asset Operations Manager

TEKsystems; United States; Remote; USD 90,000 - 96,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) plan

Life Insurance

Time Off / PTO

Remote work

Job summary

TEKsystems is seeking a digital asset operations and automation specialist to own hands‑on DAM work within Orange Logic, handling onboarding, metadata, and large‑scale library restructuring across North America, Europe, and expanding locales.

You will drive automation, apply metadata schemas, and leverage AI capabilities at volume, turning manual tasks into repeatable, scalable processes while partnering with taxonomy, workflow, and integrations teams.

Qualifications

• Minimum 4 years of experience in digital asset management or content operations.
• Hands‑on configuration and administration in an enterprise DAM (Orange Logic preferred).
• Proven ability to reduce manual processes with measurable results.
• Experience working with reports/CSV exports at volume.
• Experience applying metadata schemas, taxonomies, and naming conventions.
• Experience with high‑volume asset ingestion and data mapping.
• Strong technical aptitude and ability to learn new platforms quickly.
• Bachelor's degree or equivalent practical experience.

Responsibilities

• Execute high‑volume asset operations within Orange Logic, including bulk metadata application and correction, batch asset movement, and large‑scale library remediation.
• Use reports, exports, and facet analysis to scope, segment, and validate work before execution.
• Remediate legacy and backlog asset sets against current standards with repeatable methods.
• Execute metadata loads and bulk imports for onboarding and vendor deliveries.
• Identify recurring manual processes and convert them into repeatable solutions using templates and automation.
• Build and configure automation within Orange Logic with workflow and integrations.
• Operate and validate AI‑assisted platform capabilities at volume and document gaps.
• Use AI tools to accelerate work with lightweight scripts and reporting.

Skills

Digital asset management

Automation

Data analysis

Python scripting

AI tooling

Bulk operations

Reports & CSV exports

Education

Bachelor's degree or equivalent

Tools

Orange Logic

Tenovos

Nuxeo

Bynder

REST APIs

Job description

9 month contract to start - Fully Remote supporting PST - Compensation $65-70/hr

Description

Our team is seeking a resourceful and highly capable digital asset operations and automation specialist to execute and scale digital asset operations within our Orange Logic digital asset management (DAM) platform. This role supports content across brand, mass campaign, design, and global studio programs, spanning North America, Europe, and expanding international locales. In this role, you will own the hands‑on operational work of the DAM: onboarding large asset volumes, applying and correcting metadata at scale, restructuring library and folder architecture, and converting recurring manual work into repeatable, automated solutions.

This is a hands-in-the-tool role. You will work inside Orange Logic daily, executing high-volume asset operations and platform configuration across content programs and regions at varying levels of maturity. You will partner with DAM roles across taxonomy and metadata, workflow, and integrations to scale execution across the platform, helping shape standards and workflow design through hands‑on execution and turning them into repeatable operations. You will frequently work without a complete specification, and will help define the operational patterns these programs adopt as they scale.

To be successful in this role, you should bring strong digital asset management and library expertise combined with an instinct for scale and automation. This is not a traditional archive or library‑custodian role. The DAM operates as a content supply chain that serves assets outward, and this role exists to make that operation scale. You will be comfortable working from reports, exports, and large data sets to plan and validate work rather than reviewing assets record by record, and curious about AI as a working tool, both to accelerate your own output and to apply the platform's AI capabilities at scale. A significant part of this role is replacing investigative, one‑off asset handling with deliberate, documented process, so that manual effort becomes a decision rather than a default. You should be pragmatic and adaptable, able to make progress in ambiguous conditions across multiple content domains and regions, and inclined to identify and propose solutions rather than wait for direction. A bias toward eliminating manual effort, rather than absorbing it, is essential to this role.

Key Responsibilities Include

Asset Operations & Remediation at Scale

• Execute high-volume asset operations within Orange Logic, including bulk metadata application and correction, batch asset movement, and large-scale library remediation.
• Use reports, exports, and facet analysis to scope, segment, and validate work before execution, prioritizing by volume and downstream impact.
• Remediate legacy and backlog asset sets against current metadata standards, establishing a repeatable method for each category of work rather than resolving assets individually or through one‑off research.
• Execute metadata loads and bulk imports for asset onboarding and vendor deliveries, resolving unmatched records and mapping failures.

Automation & Scalable Execution

• Identify recurring manual processes and convert them into repeatable solutions using templates, bulk actions, saved reports, and platform automation, measuring the manual effort reduced.
• Build and configure automation within Orange Logic, partnering with the workflow and integrations function to make mature solutions permanent.
• Operate and validate AI‑assisted platform capabilities (metadata generation, tagging, content analysis) at volume, assessing output quality and documenting gaps to inform platform and vendor priorities.
• Use AI tools to accelerate your own work, building lightweight solutions, scripts, and reporting that would otherwise require dedicated development support.

Library Structure, Configuration & Documentation

• Execute folder, collection, and taxonomy restructuring, including consolidation and cleanup following structural changes, validating that asset integrity, access, and permissions are preserved.
• Configure and maintain platform elements supporting daily operations, including saved searches, reports, upload forms, and asset presentation.
• Document operational procedures, bulk operation methods, and platform configurations so that work is repeatable by others, capturing institutional knowledge as documented process rather than individual expertise.
• Participate in vendor‑led expert services sessions to build platform capability, documenting resulting solutions so they can be maintained in‑house.

BASIC QUALIFICATIONS

• Minimum 4 years of experience in digital asset management, digital asset operations, or content operations within an enterprise DAM environment.
• Hands‑on configuration and administration experience in an enterprise DAM platform (Orange Logic strongly preferred), including bulk operations across large asset sets: mass metadata edits, batch moves, and batch permission or access changes.
• Demonstrated experience reducing or eliminating a recurring manual process, with measurable results in hours, asset volume, or cycle time.
• Proven proficiency working from reports and CSV exports at volume (thousands of records) to scope, execute, and verify asset operations.
• Experience applying metadata schemas, taxonomies, and naming conventions across large and inconsistent asset sets.
• Experience with high‑volume asset ingestion, including data mapping, match logic, and resolution of ingestion errors.
• Strong technical aptitude with the ability to learn new platforms quickly, adopt emerging capabilities including AI‑assisted tooling, troubleshoot independently, and drive work to completion with minimal oversight.
• Bachelor's degree, or equivalent practical experience.

PREFERRED QUALIFICATIONS

• Experience with additional enterprise DAM or MAM platforms (Tenovos, Nuxeo, Bynder, Widen, Adobe AEM) demonstrating breadth of platform expertise.
• Experience applying AI‑assisted capabilities within a DAM or content platform (automated tagging, metadata generation, content analysis), including evaluating output quality across large asset sets.
• Experience building lightweight automation, scripting, or prototypes to support asset operations (advanced Excel, Python, JavaScript, REST APIs), including use of AI tools to build working solutions without formal development training.
• Familiarity with creative and design tooling and file formats (Adobe Creative Cloud, Figma, Frame.io) and how design assets are produced and consumed.
• Experience working within project management and collaboration platforms (Smartsheet, Box, Asana) and their relationship to asset workflows.

Job Type & Location

This is a Contract position based out of Seattle, WA.

Pay and Benefits

The pay range for this position is $50.00 - $58.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Medical, dental & vision

• Medical, dental & vision
• 401(k)/Roth
• Insurance (Basic/Supplemental Life & AD&D)
• Short and long‑term disability
• Health and Dependent Care Spending Accounts (HAS & DCFSA)
• Transportation benefits
• Employee Assistance Program
• Time off/Leave (PTO, Vacation, or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Sep 28, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full‑Stack Technology Services, Talent Services, and real‑world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full‑stack capabilities and speed. We’re strategic thinkers, hands‑on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.