adult protective services case manager 2 (investigator)-00021724

account executive northeast atlanta ga johnson and johnson medtech surgical vision

accounts payable coordinator - atlanta, ga

adjunct faculty - fundamentals of biology

administrative assistant

adult protective services case manager 2 (investigator)-00021724 Jobs in Atlanta

ai application project manager Jobs in Atlanta

ai application project manager

ai adoption manager

Franklin Fitch

<div>
 
 The AI Adoption Manager is responsible for leading the enterprise-wide adoption, implementation, and evolution of artificial intelligence capabilities across the organization. Acting as both a strategist and hands-on builder, this role translates AI potential into practical solutions that improve operational efficiency, unlock the value of organizational data, and embed AI into the daily workflows of teams across the business.
 
 
 
 
 
 This role owns the full lifecycle of AI enablement - from identifying high-impact opportunities and designing AI strategies to configuring tools, training teams, managing governance, and measuring business outcomes.
 
 
 
 
 
 
 Key Outcomes &amp; Responsibilities
 
 
 <ul>
 <li>
 Identify and prioritize high-impact AI use cases across the enterprise.
 </li>
 <li>
 Assess AI readiness, current initiatives, and data maturity.
 </li>
 <li>
 Develop and communicate an enterprise AI strategy aligned to business goals.
 </li>
 <li>
 Deliver quick-win pilots to demonstrate early value and build momentum.
 </li>
 <li>
 Lead staged rollout and configuration of enterprise AI tools.
 </li>
 <li>
 Build and deploy AI solutions (e.g., knowledge assistants, automation workflows).
 </li>
 <li>
 Partner with IT for secure integration and system optimization.
 </li>
 <li>
 Manage pilot programs, refine use cases, and scale successful initiatives.
 </li>
 <li>
 Design and deliver role-based AI training programs.
 </li>
 <li>
 Build internal AI champion networks and user communities.
 </li>
 <li>
 Execute change management strategies to ensure adoption and reduce resistance.
 </li>
 <li>
 Communicate AI value, purpose, and responsible usage across teams.
 </li>
 <li>
 Assess and improve enterprise data quality, accessibility, and integration.
 </li>
 <li>
 Collaborate with data teams to strengthen governance and hygiene.
 </li>
 <li>
 Ensure AI initiatives are based on trusted and compliant data sources.
 </li>
 <li>
 Implement AI governance, privacy, and ethical standards.
 </li>
 <li>
 Conduct audits of AI outputs, usage, and data to mitigate risk.
 </li>
 <li>
 Balance innovation with security, compliance, and brand safety.
 </li>
 <li>
 Track AI adoption, utilization, and business impact.
 </li>
 <li>
 Optimize AI tool allocation and ROI.
 </li>
 <li>
 Capture success stories and continuously improve AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, IT, Data Science, or related field.
 </li>
 <li>
 Experience in enterprise software implementation, digital transformation, AI enablement, or product ownership.
 </li>
 <li>
 Hands-on experience configuring or implementing AI tools, chatbots, automation platforms, or SaaS solutions.
 </li>
 <li>
 Strong understanding of change management and technology adoption practices.
 </li>
 <li>
 Knowledge of data governance, privacy, and security considerations related to AI.
 </li>
 <li>
 Experience working with platforms such as Microsoft Copilot, Azure AI, OpenAI, or similar technologies.
 </li>
 <li>
 Familiarity with data integration, analytics platforms, or master data management practices.
 </li>
 <li>
 Certifications in AI governance, change management, or enterprise architecture.
 </li>
 </ul>
 
 
</div>

AI Adoption Manager

The Home Depot

<div><div>Position Purpose:
As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform, enabling scalable, secure, and high-impact AI capabilities across the organization. This role combines technical delivery leadership with strategic thinking, overseeing a team of engineers to build and operate GenAI platform services, agentic workflows, and multi-model orchestration.
You will partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities that drive enterprise-wide adoption and efficiency. You will ensure alignment with security, privacy, and governance standards while enabling successful delivery and commercialization at scale. In addition, you will collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.
This role is critical to scaling AI adoption across the enterprise, balancing rapid innovation with operational excellence and responsible AI practices. 
Key Responsibilities:<ul><li>
30% Delivery &amp; Execution:</li><li>
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases</li><li>
Works with vendors and partners for the successful implementation of critical tooling and platforms</li><li>
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
Fills in on product teams for engineers who are out of the office</li><li>
10% Support &amp; Enablement:</li><li>
Fields questions from engineers, product teams, or support teams</li><li>
Monitors tools and participates in conversations to encourage collaboration across product teams</li><li>
Provides application support for software running in production</li><li>
Acts as a technical escalation point for the engineers on the team</li><li>
50% People:</li><li>
Provides leadership, mentoring, and coaching to Software Engineers</li><li>
Attracts, retains, and develops top talent to build a world class Software Engineering Team</li><li>
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback</li><li>
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests</li><li>
Acts as a proponent of modern software development practices</li><li>
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams</li><li>
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)</li><li>
10% Learning:</li><li>
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations</li><li>
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Mastery of an object oriented programming language (preferably Java)</li><li>
Must be legally permitted to work in the United States</li></ul> 
Preferred Qualifications:<ul><li>
8+ years of related work experience in software engineering, with at least 2 years focused on AI/ GenAI projects for large enterprises.</li><li>
Experience with modern software delivery practices, including CI/CD pipelines, containerization, and orchestration technologies (e.g., Docker, Kubernetes), with a strong understanding of deploying and operating scalable, production-grade systems.</li><li>
Experience designing or building AI agents and agent-based workflows, including orchestration of LLMs, tools, and external systems in production environments.</li><li>
Strong understanding of AI, machine learning, and software engineering concepts, demonstrated through recent certifications or project experience</li><li>
Proven track record of managing complex technical projects and leading junior engineering teams</li><li>
Deep experience with ad tech, streaming media platforms, and digital content delivery</li><li>
Familiarity with agile methodologies and project management tools (e.g., Jira, Trello, Monday)</li><li>
Experience with cloud platforms (e.g. Azure, GCP) for scalable AI system deployment</li><li>
Excellent problem-solving and analytical skills</li><li>
Strong communication skills with ability to explain AI and software engineering concepts to both technical and non-technical audiences</li><li>
Knowledge of privacy and security considerations in AI applications</li><li>
Understanding of AI ethics and responsible AI practices</li><li>
Strong leadership and mentoring abilities</li><li>
Excellent interpersonal and team collaboration skills</li><li>
Ability to think strategically about AI applications and their business impact</li><li>
Proactive and self-motivated with a passion for emerging AI technologies and software engineering practices</li><li>
Adaptable and able to thrive in a fast-paced, rapidly evolving AI and software development landscape.</li><li>
Bachelor's degree in Computer Science, Software Engineering, or related field.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/12/2026</div>

Manager, AI Platform Engineering (Remote)

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as NLP, Conversational AI, Information Retrieval, Generative AI or search. 
As a Data Scientist, you will also be responsible for applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)</li><li>
Prior background and experience in building Generative AI based solutions for industry is a plus</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in Machine Learning, Conversational AI, predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist, Contact Center AI

<div>Position Purpose:<div>
The Lead Data Analyst will serve as a principal strategic partner and technical anchor for the CX Analytics team supporting The Home Depot's Pro Product team. This individual will own the end-to-end analytics lifecycle for critical Pro workstreams, driving active engagement with stakeholders to shape business requirements and turn complex specifications into high-quality deliverables.</div><div></div><div>
Acting as a trusted advisor to leadership, product managers, and UX designers, the Lead Analyst will define data requirements, architect reporting frameworks, and translate complex datasets into compelling, actionable narratives that directly influence the Pro Product strategy. Utilizing expert-level SQL, Python, Tableau, and emerging AI technologies, this role will champion data-driven problem-solving, spearhead innovation (including AI/GenBI integration), and establish the gold standard for analytics governance and knowledge management across the team.</div> 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</li><li>
25% - Project Management &amp; Team Support - Lead and manage large and complex projects and teams. Provide direction on prioritization of work and ensure quality of work. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners. Clearly communicate impacts of recommendations to drive alignment and appropriate implementation. Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><div>
Proven experience in a technical project leadership and strategic ownership role.</div></li><li><div>
Expert-level proficiency with SQL and complex script development.</div></li><li><div>
Advanced experience architecting and deploying reports in Tableau.</div></li><li><div>
Strong proficiency in Python for data manipulation, statistical analysis, and automation.</div></li><li><div>
Demonstrated enthusiasm and practical knowledge of leveraging AI/Machine Learning applications for business insights.</div></li><li><div>
Exceptional data storytelling skills with the ability to translate technical findings for non-technical leadership.</div></li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Lead Data Analyst - CX Analytics (Pro Product)

Finastra

<div><h1 class="jobSectionHeader">Who are we? 
</h1> 
At Finastra, we&rsquo;re a global leader in financial services software, dedicated to expanding access to financial services and shaping what&rsquo;s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world&rsquo;s top 50 banks, in more than 110 countries.
What will you contribute? 
 
As part of Finastra&rsquo;s AI COE, we are seeking an AI Application Project Manager focused on delivery across our product-aligned delivery pods, to embed AI into some of our most critical Finastra products.
 
 
Responsibilities &amp; Deliverables:
 
Your deliverables as an AI Application Project Manager will include, but are not limited to, the following:
<ul><li>End to End project delivery: Lead and drive projects from Intake till Delivery and ensure that projects remain in-scope and meet budgetary, scheduling, and quality requirements.
</li><li>Planning: Develop detailed implementation project plans, outlining the scope, timeline, milestones, resource allocation, and deliverables for each client engagement.
</li><li>Client management: Work closely with clients to understand their specific requirements, business processes, and objectives for the banking system implementations
</li><li>Requirements Analysis: Collaborate with business consultants, solution architects and clients to gather, analyze, and document functional and technical requirements for the core banking software.
</li><li>Solution Design: Liaise between Finastra's product experts, solution and technical teams in designing the most suitable solution that aligns with client needs and meets industry best practice.
</li><li>Stakeholder Management: Act as the main point of contact for clients, ensuring effective communication and collaboration between Finastra and the client's project team.
</li><li>Resource Management: Assemble project teams from various functional areas within Finastra, assigning roles and responsibilities to ensure efficient project execution.
</li><li>Risk Management: Identify potential risks and challenges during the implementation process and develop mitigation strategies to address them proactively.
</li><li>Issue Resolution: Manage and escalate issues, ensuring prompt resolution and minimizing disruptions to the project timeline.
</li><li>Change Management: Develop change management strategies to assist clients in adopting the new core banking system and effectively manage organizational change.
</li><li>Reporting and Documentation: Manages the daily/weekly project team assignments and monitors progress against the work plan to ensure that objectives are met within the prescribed time, cost, and quality measures.
</li><li>Communication and Cadence: Creates, manages, and distributes project communications artifacts like charters, schedules, and budgets. Provides project status updates and steering committees, etc., at predetermined time intervals to all stakeholders. Publishing project reports, KPI metrics, retrospectives, lessons learned and best practices
</li><li>Project budgeting and costing: Manage and monitor project forecast and budget to ensure projects are executed within allocated budgets by optimizing costs and control cost leakages.
</li><li>Closure: Ensure standardized closing ceremonies and orchestrate successful project handovers to post-implementation support teams.
</li><li>Continuous Improvement: Identify opportunities to improve implementation methodologies, tools, and best practices to enhance future project delivery
</li><li>Client Satisfaction: Ensure a high level of client satisfaction by delivering projects on time, within budget, and exceeding client expectations.
</li><li>Program governance: Align on program and portfolio frameworks and methodologies. 
</li></ul> 
Required Experience:
<ul><li>Experience in project or program management in Banking and Financial implementation projects
</li><li>Implementation with Client facing experience
</li><li>Project management certifications (PMI, CSM, Agile, SAFe, etc.,)
</li><li>Strong communication, negotiation and stakeholder expectation management skills
</li><li>Experience with Finastra products is a plus
</li></ul>We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold: 
 
&middot; Flexibility: Enjoy unlimited vacation, based on your location and business priorities. Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave.
&middot; Well-being: Access Confidential one-on-one therapy through our Employee Assistance Program, find support from our network of Wellbeing Champions and Gather Groups, and a calendar of monthly events and initiatives designed to help you thrive - Inside and Outside of work.
&middot; Medical, life &amp; disability insurance, retirement plan, lifestyle and other benefits*
&middot; Sustainability: Benefit from paid time off for volunteering and donation matching.
&middot; DEI: Participate in multiple DE&amp;I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra).
&middot; Career Development: Access online learning and accredited courses through our Skills &amp; Career Navigator tool.
&middot; Recognition : Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best. 
<div> 
<ul><li>Specific benefits may vary by location.
</li></ul></div>At Finastra, each individual is unique, bringing their own ideas, thoughts, cultural beliefs, backgrounds, and experiences together. We learn from one another, embrace and celebrate our differences, and create an environment where everyone feels safe to be themselves.
Be unique, be exceptional, and help us make a difference at Finastra!
Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.</div>

AI Application Project Manager

<div><div>Position Purpose:
This is a Senior Communications Specialist within our Cyber Security organization. Protecting what matters most to our associates and consumers by securing our sensitive data and critical assets from current and emerging threats. At The Home Depot Cybersecurity consists of Architecture, Governance, Identity &amp; Access Management, Internal Threat Operations, Issue and Compliance Management, Risk Assessment/Advisory, Security Consulting, Security Operations, Service Optimization and Strategic Planning 
Analysts II perform data gathering, analysis, synthesis and develop solutions to support THD Cybersecurity practices. 
Key Responsibilities:<ul><li>
60% Analysis - Synthesize data to develop a solution, communicate the solution to stakeholders Analyze problems, structure the issue and perform analysis</li><li>
10% Collaborate - Partner cross-functionally to identify trends and resolve issues</li><li>
30% Drive Execution - Ensure initiative/project goals are met in a timely manner Implement solutions to meet customer expectations</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><div><ul><li>
Team Construction &amp; Vision: Support the foundational set-up of the Cybersecurity Communications team, defining the mission, vision, and long-term goals in partnership with team Manager and Sr. Analyst.</li></ul></div><div><ul><li>
Operational Infrastructure Development: Design and implement the team's dedicated &quot;backbone&quot; by helping to set up the necessary technology stack and engineering for a centralized intake process.</li></ul></div><div><ul><li>
Brand &amp; Template Stewardship: Build and maintain the Cybersecurity brand guidelines, templates, SLAs, playbooks, and SOPs to bring order and consistency to the team.</li></ul></div><div><ul><li>
Communication Planning &amp; Execution: Partner closely with Sr. Analyst and Corporate Communications to create and execute communication plans and written and visual communications for high-impacting security initiatives, KTLO, and crisis response, ensuring all milestones are met with high-quality, professional output.</li></ul></div><div><ul><li>
Corporate Communications Coordination: Partner heavily with Corporate Communications to ensure all Cybersecurity collateral adheres to enterprise brand standards and communications are distributed to the intended parties in a timely manner.</li></ul></div><div><ul><li>
Feedback and Data Driven Insights: Partner with Sr. Analyst to monitor feedback and sentiment from cross-functional partners and employees to identify communication needs, surface themes, and recommend data-informed improvements to Cybersecurity communications and strategies, using tools such as engagement surveys, pulse checks, and feedback channels to quantify impact over time.</li></ul></div><div><ul><li>
Crisis Communication Support: Partner with Sr. Analyst and Corporate Communications to establish an Internal Cyber Crisis Communication process. Once established, will rapidly deploy urgent crisis related communication during critical Cybersecurity incidents using preapproved templates and SLAs.</li></ul></div><div><ul><li>
Adoption Tracking &amp; Reporting: Develop tactics and identify tools to measure communication reach, comprehension, engagement, and behavioral outcomes. In collaboration with the senior cybersecurity analyst, develop and maintain dashboards with an executive snapshot that ties communication metrics to the overall program objectives.</li></ul></div></li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div> 
Apply End Date: 04/02/2026</div>

Cybersecurity Analyst II - Senior Communications Specialist

wideanchor

Job Overview We are seeking a dynamic and innovative AI Researcher to join our cutting-edge technology team. In this role, you will drive the development of advanced artificial intelligence solutions, harnessing the power of machine learning, natural language processing, and big data analytics. Your expertise will help shape the future of intelligent systems, enabling transformative applications across diverse industries. This position offers an exciting opportunity to work with state-of-the-art tools and frameworks, contribute to impactful research projects, and collaborate with a talented team dedicated to pushing the boundaries of AI technology.Responsibilities<ul><li>Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools.</li><li>Conduct research on unsupervised learning techniques to uncover hidden patterns in large datasets.</li><li>Implement data pipelines using ETL processes and tools like Talend to prepare data for analysis and model training.</li><li>Develop scalable solutions leveraging cloud platforms such as AWS for model deployment and management.</li><li>Collaborate with cross-functional teams to integrate natural language processing capabilities into products and services.</li><li>Perform data mining and database design to support analytics initiatives and enhance data accessibility.</li><li>Utilize big data technologies like Hadoop, Spark, and SQL to analyze complex datasets and extract actionable insights.</li></ul>Requirements<ul><li>Proven experience in machine learning, AI, and natural language processing with a strong understanding of relevant frameworks such as TensorFlow or similar.</li><li>Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), and R for data analysis and model development.</li><li>Hands-on experience with cloud services like AWS for model training, deployment, and scaling AI solutions.</li><li>Solid knowledge of big data tools such as Hadoop, Spark, SQL databases, and ETL processes for managing large-scale datasets.</li><li>Familiarity with database design principles and linked data concepts to facilitate efficient data retrieval and integration.</li><li>Experience in data mining, analytics, and applying unsupervised learning techniques to real-world problems.</li><li>Ability to work with diverse machine learning frameworks and tools while maintaining a focus on model accuracy and performance.</li><li>Strong analytical skills complemented by expertise in SAS or Looker for advanced reporting and visualization tasks.</li><li>Knowledge of quantum engineering is a plus but not required; enthusiasm for emerging technologies is encouraged. Join us as an AI Researcher to innovate at the forefront of technology! Bring your passion for research, your technical prowess across multiple programming languages and platforms, and your desire to make a meaningful impact through artificial intelligence solutions that transform industries worldwide.</li></ul>Pay: From $55,609.76 per yearBenefits:<ul><li>Employee assistance program</li><li>Flexible schedule</li><li>Professional development assistance</li><li>Referral program</li><li>Tuition reimbursement</li></ul>Work Location: In person

AI Researcher

Explore 78+ Ai adoption manager in Atlanta this April. Find roles across top companies and apply now to boost your career.