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Dama Jobs (NOW HIRING)

Fintech

Data Governance Lead

Tampa, FL · On-site

... DAMA DMBOK principles Develop data policies and standards related to data quality, access, retention, classification, and lineage Define and support data ownership and stewardship models across ...

Fintech

Data Governance Lead

Tampa, FL · On-site

... DAMA DMBOK principles Develop data policies and standards related to data quality, access, retention, classification, and lineage Define and support data ownership and stewardship models across ...

Viasat, Inc.

Field Applications Engineer

Carlsbad, CA · On-site

$99K - $149K/yr

Support installation and deployment, as well as testing, documentation & training, operations & maintenance of UHF DAMA and IW Networks. * Collaborate with both internal and external customers.

Viasat, Inc.

Field Applications Engineer

Carlsbad, CA · On-site

$99K - $149K/yr

The day-to-day Support installation and deployment, as well as testing, documentation & training, operations & maintenance of UHF DAMA and IW Networks. Collaborate with both internal and external ...

Hirekeyz Inc

Project Manager

Austin, TX · On-site

Years Required/Preferred Experience 8 Required Experience with enterprise data quality initiatives leveraging best practices according to the DAMA DMBOK and industry standards. 5 Required Experience ...

Viasat, Inc.

Field Applications Engineer

Carlsbad, CA · On-site

$99K - $149K/yr

Support installation and deployment, as well as testing, documentation & training, operations & maintenance of UHF DAMA and IW Networks. * Collaborate with both internal and external customers.

Hirekeyz Inc

Project Manager

Austin, TX · On-site

Years Required/Preferred Experience 8 Required Experience with enterprise data quality initiatives leveraging best practices according to the DAMA DMBOK and industry standards. 5 Required Experience ...

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Dama information

What are the key skills and qualifications needed to thrive in the Dama position, and why are they important?

To thrive as a Dama, especially in roles such as event hostess or ceremonial attendant, strong interpersonal communication, organization, and attention to detail are essential, often complemented by experience in hospitality or customer service. Familiarity with event management software and basic office tools like MS Office can be valuable, and some positions may require specific training in protocol or etiquette. Adaptability, a professional appearance, and a courteous demeanor help a Dama stand out, particularly in high-profile or formal events. These skills ensure that events run smoothly, guests feel welcomed, and the organization is well represented.

How does one become a dama?

To become a dama, individuals typically need to meet specific age and eligibility requirements, often including a background check and training in relevant skills. Gaining experience through apprenticeships or certifications related to the role can also be beneficial. The process varies depending on the industry or context in which the term is used.

What are typical responsibilities for a Dama during formal events or ceremonies?

As a Dama, you may be responsible for greeting and escorting guests, assisting with coordination of schedules, and ensuring that event protocols are followed. Tasks often include helping with seating arrangements, providing guidance or information to guests, and supporting the event organizers with logistical needs. You might also collaborate closely with the event coordination team to address any last-minute changes and ensure a seamless experience for everyone involved. This role requires a balance of attentiveness and discretion, making your contribution key to the overall success of the event.

How to find a Dama employer?

To find a Dama employer, search online job boards, company websites, or local classifieds for openings related to the Dama role. Networking and reaching out to staffing agencies can also help connect with potential employers seeking Dama professionals, who often require skills in customer service, sales, or hospitality. Ensure your resume highlights relevant experience and certifications if applicable.

What jobs qualify for a Dama visa?

A Dama visa typically qualifies individuals seeking employment in roles related to domestic work, caregiving, or similar service positions. Eligibility often depends on job offers, relevant skills, and compliance with immigration requirements specific to the issuing country.

How does a dama work?

A dama is a person who works as a female security guard or surveillance operator, often responsible for monitoring premises, ensuring safety, and reporting incidents. The role typically requires attention to detail, good observation skills, and sometimes the use of security systems or tools. Dama positions may involve shift work and adherence to safety protocols.
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Dama jobs near you
Infographic showing various Dama job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.
Data Governance & Enablement Manager

Data Governance & Enablement Manager

BankUnited

Miami Lakes, FL • On-site

Full-time

Re-posted 22 days ago

Job description

Data Governance & AI Enablement Manager
SUMMARY
BankUnited's Technology Data Management team is digitally redefining the Bank with data and AI by enabling teams across the organization to align their growing data assets and analytics capabilities across various sources and platforms to inform and transform business outcomes.
Enabling this transformation requires the creation, management, sharing, and consumption of data and AI-driven insights to generate measurable business value. We are seeking a Data Governance & AI Enablement Manager to play a key role in developing and advancing the Bank's data and AI governance strategy and operating model.
This role is responsible for establishing, operationalizing, and continuously maturing enterprise data governance capabilities, while also enabling responsible and scalable AI adoption. The position will leverage industry-standard frameworks (e.g., DCAM, DAMA-DMBOK) to assess and improve the Bank's data management maturity, ensuring strong control, transparency, and value realization across the full data and AI lifecycle.
The role focuses on treating data as a strategic enterprise asset-emphasizing ownership, quality, traceability, control, and value-and ensuring that AI/analytics initiatives are supported by trusted, well-governed data and aligned with risk and regulatory expectations.
KEY RESPONSIBILITIES
Framework Design & Strategy
  • Lead the design and evolution of the Data & AI Governance framework to support business value realization and regulatory alignment
  • Collaborate with business and technology stakeholders to establish strong data ownership, stewardship, and accountability
  • Align governance frameworks with industry standards (e.g., DCAM, DAMA-DMBOK, COBIT) Define governance capabilities, control objectives, and measurable outcomes across data and AI domains Governance Implementation & Operations
    Implement and operationalize governance frameworks across business, data, and technology teams
  • Drive stakeholder engagement, adoption, and adherence to governance policies and standards
  • Support governance committees and data/AI communities as key forums for alignment and decision-making
  • Define, monitor, and enforce governance controls that are measurable, auditable, and aligned with regulatory and risk management expectations Establish governance processes that ensure consistency, scalability, and sustainability across the enterprise
  • Data & AI Governance Maturity and Assessment Conduct formal maturity assessments aligned to frameworks such as DCAM and DAMA-DMBOK
  • Develop and maintain capability models, maturity scoring methodologies, and assessment criteria across data and AI governance domains
  • Perform gap analyses and define actionable remediation roadmaps to enhance governance capabilities
  • Establish repeatable processes for evidence collection, validation, and documentation to support assessments and audits
  • Produce maturity scorecards and executive-level reporting on governance effectiveness and progress
  • Data & AI Lifecycle Governance
  • Ensure governance across the full lifecycle of data and AI assets, including data creation, ingestion, transformation, storage, usage, retention, and disposal, as well as model development, validation, deployment, monitoring, and retirement
  • Align lifecycle controls with regulatory, compliance, and risk management requirements
  • Promote consistent lifecycle management practices and standards across the enterprise.

AI Governance & Enablement
  • Support the development and implementation of AI governance practices aligned with enterprise data governance and risk frameworks
  • Partner with Data Science, Analytics, and Technology teams to enable responsible, scalable AI and advanced analytics adoption
  • Establish governance processes for the AI/ML lifecycle, including model documentation, validation, monitoring, and traceability
  • Promote adherence to principles of model transparency, explainability, fairness, and accountability
  • Ensure alignment between data quality, lineage, and model performance requirements
  • Support auditability and traceability of AI models and their underlying data assets

Data & AI Value Enablement
  • Coordinate across lines of business to develop and prioritize data and AI use cases aligned to business outcomes
  • Partner with stakeholders to define and measure value realization, including revenue enablement, cost optimization, and risk reduction
  • Evaluate feasibility, risk, and governance readiness of data and AI initiatives
  • Prioritize governance efforts based on business impact and criticality of data and AI assets
  • Monitoring, Metrics & Continuous Improvement
  • Define and track KPIs and KRIs for governance effectiveness (e.g., data quality, ownership coverage, lineage completeness, model governance adherence)
  • Establish maturity tracking mechanisms to measure progress over time
  • Continuously improve governance processes based on assessment results, metrics, and stakeholder feedback

Data Management, Quality & Metadata
  • Perform data quality assessments, identify issues, and support remediation efforts
  • Support implementation and adoption of data catalog, metadata, and lineage management tools
  • Ensure governance controls are testable, measurable, and aligned to defined standards
  • Support evidence-based validation of data quality and governance effectiveness

Documentation, Training & Adoption
  • Develop and maintain governance documentation, including policies, standards, procedures, and guidelines
  • Provide training and education to support adoption of governance practices and tools
  • Promote consistent use of data catalogs, business glossaries, and governance processes
  • Cross-Functional Collaboration
  • Work with Data Analytics, Data Science, and business stakeholders to capture and define data and AI requirements
  • Partner with Risk, Compliance, and Internal Audit teams to ensure governance practices support audit readiness and control validation
  • Collaborate across IT and business functions to align governance with enterprise priorities

ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, document, maintain, and enforce data and AI governance policies, standards, and controls
  • Define and evaluate governance controls to ensure consistency, effectiveness, and auditability
  • Develop and maintain governance KPIs, KRIs, and maturity scorecards
  • Conduct maturity assessments and communicate findings and recommendations to leadership
  • Produce gap assessments and remediation roadmaps
  • Ensure alignment with lifecycle controls and regulatory expectations
  • Support audit and regulatory inquiries by providing governance evidence and documentation
  • Drive adoption of governance tools and best practices across the enterprise
  • Adhere to applicable federal and state laws and regulatory guidance, including those related to financial services and anti-money laundering
  • Identify and report suspicious activity

EDUCATION
Bachelor's degree from an accredited college or university in information technology, computer science, business administration, or a related field preferred
EXPERIENCE
  • 7+ years of experience in data governance, data management, or related disciplines
  • Experience implementing or operating within data governance frameworks and/or maturity models
  • Experience with data governance maturity frameworks (e.g., DCAM, DAMA-DMBOK)
  • Experience conducting assessments, audits, or capability evaluations
  • Experience defining and implementing governance metrics and performance frameworks
  • Experience supporting risk, compliance, or regulatory-driven initiatives
  • Experience with data cataloging tools such as Alation, Collibra, Informatica, or similar
  • Experience supporting AI/ML initiatives, advanced analytics, or model governance practices is preferred
  • Familiarity with Agile/DevOps methodologies and tools such as Jira and Confluence

KNOWLEDGE, SKILLS AND ABILITIES
  • Strong knowledge of enterprise data management and governance frameworks
  • Understanding of data as an asset principles and value measurement approaches
  • Familiarity with AI/ML lifecycle concepts, including model development, validation, deployment, and monitoring
  • Awareness of AI governance principles, including explainability, fairness, accountability, and transparency
  • Ability to design and implement scalable, measurable governance controls
  • Knowledge of data lifecycle management, metadata, lineage, and data quality processes
  • Familiarity with modern data architectures and platforms (e.g., AWS, Azure, Snowflake, Databricks)
  • Ability to translate governance concepts into quantifiable metrics and maturity models
  • Strong analytical, problem-solving, and organizational skills
  • Strong written and verbal communication skills, including the ability to present to senior leadership
  • Ability to work cross-functionally and influence stakeholders without direct authority
  • Working knowledge of SQL and relational databases is a plus

PREFERRED CERTIFICATIONS
  • Certified Data Management Professional (CDMP) - DAMA
  • DCAM (EDM Council or equivalent)
  • CISA, CRISC, or similar certifications
  • Familiarity with Model Risk Management frameworks (e.g., SR 11-7) is a plus

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