Content Strategist - Mid-Level

Description

** Hybrid onsite in Austin, TX**

Marketing Technology Content Strategist

Role Overview

The Content Strategist plays a critical role in a project thats driving the transformation from traditional page-based content to structured, modular, AI-ready content.

This role partners across content, marketing, and technology teams to define, design, and operationalize content structures, models, and governance that power scalable digital experiences. The focus is on enabling content to be findable, reusable, personalized, and optimized for AI-driven experiences across Schwab.com and associated platforms.

This work directly supports the Content Structure & Enablement workstream within the Moonshot project, ensuring content is engineered to meet both current redesign needs and future AI use cases.

The Opportunity

As part of the Moonshot Site Rebuild, this role will:

• Help transition from unstructured, page-based content to structured content models

• Establish the foundational content layer required for AI-powered experiences, search, and personalization

• Enable content owners and marketers with clear frameworks, tools, and training to operate in a new model

• Drive alignment between content strategy, UX, and technology implementation

What You’ll Do

Content Structure & Modeling

• Design and implement structured content models aligned to Moonshot templates and content types

• Translate business and UX requirements into modular content components, schemas, and metadata models

• Help define content relationships, taxonomy, and controlled vocabularies to support discoverability and reuse

• Partner with CMS and engineering teams to ensure models are system-ready and scalable

AI-Ready Content Enablement

• Ensure content is structured to support:

o AI-driven search and retrieval (RAG, semantic search)

o Personalization and segmentation

o Content automation and reuse

• Help define metadata and tagging strategies that improve AI understanding and output quality

• Partner with AI/LLM stakeholders to align content structures with LLM and downstream AI use cases

• Identify opportunities to optimize existing content for AI consumption and generation

Enablement & Adoption

• Develop and deliver clear guidance, documentation, and playbooks for content creators

• Translate complex concepts (structured content, metadata, AI readiness) into practical workflows

• Facilitate working sessions with content owners and marketers to drive adoption

• Support change management efforts to shift from waterfall content models to iterative, modular workflows

Governance & Operationalization

• Help operationalize and reinforce content governance standards across the content ecosystem

• Define rules for:

o Content creation and assembly

o Metadata application

o QA and publishing workflows

• Partner with cross-functional teams (UX, Design Systems, Tech) to ensure consistent implementation

• Contribute to a scalable content operating model for post-launch sustainability

Key Skills

Structured Content Expertise

• Proven experience in content modeling, taxonomy, and metadata design at scale

• Deep understanding of modular content systems and headless CMS environments

AI & Emerging Technology Acumen

• Deep knowledge of how content powers:

o Large Language Models (LLMs)

o Semantic search / vector-based retrieval

o AI-driven personalization

• Ability to translate AI requirements into practical content structure decisions

• Experience optimizing content for machine readability and automation

Strategic Thinking

• Ability to connect content decisions to business outcomes (conversion, engagement, speed, compliance)

• Systems thinker who can design end-to-end content ecosystems

Cross-Functional Leadership

• Strong communicator across marketing, UX, and engineering teams

• Ability to bridge strategy and execution and drive alignment

Required Experience

• 5+ years in content strategy, content architecture, or content engineering

• Hands-on experience with:

o Content modeling and structured content implementations

o CMS platforms and digital experience ecosystems

o Taxonomy, metadata, and content governance frameworks

• Experience supporting large-scale site rebuilds or digital transformation programs

• Direct experience with AI-enabled content, search, or personalization systems

Preferred

• Experience in financial services or highly regulated industries

• Familiarity with design systems and component-driven UX models

• Experience contributing to content migration at enterprise scale

Experience Level

Intermediate Level

This is a Contract position based out of Austin, TX.

The pay range for this position is $54.00 - $57.00/hr.

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)

This is a hybrid position in Austin,TX.

This position is anticipated to close on Jun 12, 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, age, 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.