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Remote Disney Data Entry Jobs in Colorado (NOW HIRING)

Draft and/or supervise the preparation of documents for rights of entry, damage claims, contracts ... Ability to work in remote locations for long periods of time. * Excellent interpersonal skills and ...

Draft and/or supervise the preparation of documents for rights of entry, damage claims, contracts ... Ability to work in remote locations for long periods of time. * Excellent interpersonal skills and ...

Showing results 41-47

Remote Disney Data Entry information

What does a typical day look like for someone in a remote Disney data entry position?

A typical day as a Remote Disney Data Entry professional involves accurately inputting and updating data into company databases, verifying information for accuracy, and cross-referencing files for consistency. You may also communicate regularly with other remote team members or supervisors via email and virtual meetings to clarify data points and resolve discrepancies. The role often includes maintaining confidential records, meeting daily or weekly productivity targets, and handling recurring data quality checks. Balancing focus and efficiency is key, as you’ll be working independently while still collaborating digitally with other departments to ensure seamless data processing.

What is a remote Disney data entry?

A Remote Disney Data Entry job involves inputting, organizing, and managing data related to Disney's operations from a remote location. Responsibilities may include entering customer information, processing digital files, and maintaining databases with accuracy and efficiency. These positions typically require strong attention to detail, basic computer proficiency, and the ability to work independently. While remote roles offer flexibility, they may also have deadlines and performance expectations. Some positions may be full-time, while others could be part-time or freelance.

Does Disney offer any remote jobs?

Disney offers remote jobs, including roles like data entry, customer service, and content management, which often require strong organizational skills and familiarity with digital tools. These positions typically allow employees to work from home or other remote locations, depending on the role and department requirements.

What are the key skills and qualifications needed to thrive in the remote Disney data entry position?

To excel as a Remote Disney Data Entry professional, you need strong keyboarding skills, attention to detail, and a high school diploma or equivalent. Familiarity with data management software such as Microsoft Excel or Disney-specific database systems, as well as the ability to navigate cloud-based tools, is often required. Excellent organizational abilities, time management, and the capacity to work independently help individuals stand out in this role. These qualities ensure data is accurately entered, deadlines are consistently met, and sensitive information is handled with integrity in a remote work environment.

What are popular job titles related to Remote Disney Data Entry jobs in Colorado? For Remote Disney Data Entry jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Disney Data Entry jobs? Cities in Colorado with the most Remote Disney Data Entry job openings:
Infographic showing various Remote Disney Data Entry job openings in Colorado as of August 2026, with employment types broken down into 3% As Needed, 83% Full Time, 11% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.

Solution Architect - Applied AI Practice (Pre-Sales) (Remote)

Bryant Park Consulting

Denver, CO • Remote

$200K - $250K/yr

Full-time

Posted 22 days ago


Job description

About the role:

Bryant Park Consulting is building an Applied AI practice - an AI delivery arm that designs, builds, and operates AI agents inside client systems. We are looking for a Solution Architect to own the sales cycle end-to-end: sourcing and developing opportunities, leading discovery, scoping and sizing engagements, and translating operational pain points into credible agent architectures. You will be the technical expert and trusted advisor from first conversation through close - whether the entry point is a demo, a workshop, an assessment, or a scoped build. This role reports to the VP of Sales, with a dotted line to the Applied AI Practice Lead, and, as a pivotal driver of practice growth, carries sales and bookings targets and incentives.

Responsibilities:

  • Source and develop opportunities - within existing BPC accounts, through partner channels, and via your own network - and lead the sales cycle end to end, from first conversation through signed engagement.
  • Build and maintain relationships with referral channels: Anthropic and other AI vendor sales teams, centers of influence, and partner firms that refer new business to the practice.
  • Lead technical discovery sessions with prospective clients to map their systems, data, and operational workflows to agent automation opportunities.
  • Deliver the right pre-sales motion for each opportunity - demos from our pre-built agent fleet, workshops, technical deep dives, or proof-of-value scoping - matched to the client's vertical and buying stage.
  • Scope and size engagements: map candidate agent initiatives to complexity bands, estimate work units, and recommend the right engagement structure and retainer tier.
  • Design high-level agent architectures and solution blueprints - agent design, MCP connector approach, system integration points, security and access model, and observability.
  • Collaborate with sales and Global Solution Architects to qualify opportunities and respond to RFPs.
  • Draft proposals and statements of work - pricing, effort estimates, timeline, and phasing - then present to client stakeholders and negotiate scope, pricing, and redlines through to signature.
  • Translate technical concepts - agents, MCP, model selection, token economics - into language that resonates with CFOs, CTOs, and operations leaders.
  • Handle technical objections credibly: build-vs-buy, security and data access, infrastructure and model-choice concerns, and how production agents differ from the AI tools clients already use.
  • On close, carry the vision into delivery: mobilize the assigned team to deliver what was positioned and sold, and stay engaged as engagement sponsor.
  • Develop long-lasting client relationships as a trusted advisor, positioning follow-on services as the account grows.
  • Contribute to demo assets, sales collateral, and reusable solution patterns as the practice's IP library grows.
  • Stay current on the AI agent landscape - models, agent frameworks, MCP ecosystem, and enterprise AI governance trends.

Qualifications:

  • Bachelor's or advanced degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • 4-7 years in a pre-sales, solution architecture, or technical consulting role with enterprise clients.
  • Hands-on experience with LLM-based applications: model APIs (Anthropic, OpenAI, or similar), agent frameworks, prompt and context engineering, and tool/function calling.
  • Strong understanding of enterprise integration - APIs, middleware/iPaaS, event-driven patterns - and how AI agents connect to systems of record.
  • Experience with enterprise business systems across ERP (SAP, Oracle, Microsoft Dynamics, NetSuite), CRM, ITSM (ServiceNow), supply chain/WMS, or data platforms (Snowflake, Databricks).
  • Proven ability to scope and estimate technical work and defend the estimate with clients.
  • Excellent communication and presentation skills with both technical and executive audiences.
  • Comfortable operating in an early-stage practice: ambiguity, speed, and building the playbook as you run it.

Bonus Points:

  • Experience with Model Context Protocol (MCP) or building production agent/connector integrations.
  • Background in the NetSuite ecosystem or ERP consulting.
  • Experience in a delivery role (you've built what you sell) or a quota-carrying pre-sales role.
  • Familiarity with AI governance, security review processes, and enterprise observability tooling.
  • Vertical depth in manufacturing, distribution, consumer goods, or food & beverage.
Salary Range: $200,000 to $250,000

In accordance with the Colorado Equal Pay for Equal Work Act, the approximate annual base compensation range is listed above. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.