Senior Project Manager - Automation Initiatives (Remote) at Verisart

San Antonio, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, FinTechIndustries

Requirements

Experience leading strategic, high-complexity projects and programs focused on artificial intelligence and machine learning initiatives
Technical project leadership combined with business acumen
Ability to manage AI/ML implementations, data platform modernization, intelligent automation, and cross-functional digital transformation efforts
Proficiency in orchestrating projects from concept through production deployment
Knowledge of ensuring AI solutions are delivered on time, within budget, aligned with business value and ethical AI principles
Expertise in bridging technical, business, and consulting domains
Championship of agile methodologies (Agile, Scrum) and modern project management practices, including hybrid methodologies (Waterfall, MLOps)
Familiarity with automation project challenges such as model performance, data requirements, ethical considerations, bias detection, explainability, data privacy, and governance frameworks
Experience coordinating dependencies across data engineering, automation engineering, data science, and business stakeholder teams
Knowledge of the automation project lifecycle from use case identification through model training, validation, deployment, and monitoring
Experience with automation platforms, including model training infrastructure, MLOps pipelines, feature stores, and model monitoring systems
Background in projects involving generative automation applications, natural language processing, computer vision, predictive analytics, and intelligent process automation
Ability to manage relationships with automation technology vendors, cloud providers (AWS, Azure, GCP), and automation consulting partners
Strong stakeholder communication skills, including delivering status reports, executive dashboards, risk assessments, and presentations using data visualization and storytelling
Experience facilitating stakeholder alignment through sprint reviews, model review sessions, steering committee meetings, and governance forums
Proficiency in coordinating distributed, cross-functional teams including data scientists

Responsibilities

Lead end-to-end delivery of complex automation and machine learning projects, including model development, automation platform implementations, intelligent automation solutions, and generative automation integrations (25%)
Drive projects through all lifecycle phases using hybrid methodologies (Agile, Scrum, Waterfall, MLOps) tailored to automation needs, managing scope, timeline, budget, quality, and unique challenges
Coordinate dependencies across data engineering, automation engineering, data science, and business stakeholder teams; navigate full automation project lifecycle
Support implementation and optimization of automation platforms, including model training infrastructure, MLOps pipelines, feature stores, and model monitoring systems (20%)
Coordinate cross-functional teams on projects involving generative automation, NLP, computer vision, predictive analytics, and intelligent process automation
Partner with data science, engineering, and business teams to deliver solutions driving measurable business outcomes and ROI
Manage relationships with automation technology vendors, cloud providers (AWS, Azure, GCP), and consulting partners; ensure responsible automation practices
Serve as primary point of contact for automation project teams, business owners, and executive sponsors (20%)
Deliver clear communications including status reports, executive dashboards, risk assessments, and translate complex concepts into business value language
Facilitate stakeholder alignment through sprint reviews, model review sessions, steering committee meetings, and governance forums; present updates and recommendations to leadership
Coordinate distributed, cross-functional teams including data scientists, and manage resources

Skills

Key technologies and capabilities for this role

Project ManagementAgileScrumWaterfallMLOpsAIMachine LearningAutomationData PlatformsDigital Transformation

Questions & Answers

Common questions about this position

Is this Senior Project Manager role remote?

Yes, the position is fully remote.

What skills are required for the Senior Project Manager role?

Key skills include technical project leadership, business acumen, expertise in agile methodologies (Agile, Scrum, Waterfall, MLOps), and experience managing AI/ML projects involving model development, data platforms, and automation platforms. Familiarity with cloud providers like AWS, Azure, and GCP, as well as coordinating cross-functional teams in data engineering, data science, and business domains, is essential.

What is the salary or compensation for this position?

This information is not specified in the job description.

What are the main responsibilities in this role?

Responsibilities include leading end-to-end delivery of complex automation and machine learning projects, driving projects through lifecycle phases with hybrid methodologies, coordinating cross-functional teams, and managing vendor relationships for automation platforms and cloud providers.

What kind of projects will I work on as Senior Project Manager?

You'll lead strategic projects focused on AI/ML initiatives, including model development, automation platform implementations, intelligent automation, generative automation, natural language processing, computer vision, predictive analytics, data platform modernization, and MLOps pipelines.

Verisart

Blockchain-based digital certificates for art authentication

About Verisart

Verisart provides digital certificates that authenticate the history and creation of art and collectibles using blockchain technology. Their service allows artists, collectors, galleries, and museums to create secure and tamper-proof records of ownership and provenance. The certificates are generated through a user-friendly platform accessible via mobile devices or computers, requiring only two steps to create museum-quality records. Unlike traditional methods, Verisart's certificates are encrypted and timestamped on a decentralized ledger, ensuring high security and transparency. The company differentiates itself by focusing on the art market and offering a straightforward solution for certificate management. Verisart's goal is to set a global standard for art certification, making records of creation and ownership easily verifiable and protected.

Los Angeles, CaliforniaHeadquarters

2015Year Founded

$4.9MTotal Funding

CONVERTIBLECompany Stage

Crypto & Web3, Consumer GoodsIndustries

1-10Employees

Risks

Blockchain technology evolution may outpace Verisart's current platform capabilities.

Growing competitors like OpenSea could dilute Verisart's market share.

Cryptocurrency market volatility affects Verisart's revenue stability.

Differentiation

Verisart offers patented NFT minting and certification since 2015.

The platform allows creators to choose their blockchain and create smart contracts.

Verisart integrates COA for verifying authenticity of digital and physical art.

Upsides

Increased interest in fractional ownership boosts Verisart's fractionalized NFT offerings.

AI-generated art demand aligns with Verisart's authentication capabilities.

Digital art exhibitions increase need for Verisart's digital certification services.

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