Ttecdigital

<div><span>At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.</span></div><div><br /></div><div>
<p>TTEC Digital’s Analytics &amp; Insights Practice is looking for a Senior Business Data Analyst to support and deliver a diverse range of analyses and provide value-added contact center consulting. More specifically, this person will help drive strategic thinking and insights for a healthcare client. The role is expected to provide insights on contact center operations and sales.</p>
<p> </p>
<p>The Senior Business Data Analyst will bring to TTEC analytics experience, with a solid understanding of contact centers and their specific analytic concepts. An ability to turn data into insights and recommendations is critical.  Additionally, knowledge of contact center measurement and KPIs is required. Healthcare experience is a plus.</p>
<p> </p>
<p>The ideal candidate will have the ability to think analytically (to mine the data), creatively (to develop analysis ideas), and strategically (to deliver business results for our clients and provide recommendations). The candidate must be able to pull all insights into a crisp, easy to understand presentation, and speak to the results with confidence.</p>
</div>
<h2>What you’ll be doing:</h2><div>

<li>Provide data-driven strategic consulting to Fortune 500 clients</li>
<li>Support and deliver client analyses</li>
<li>Actively contribute to analytically-oriented projects from inception to delivery, including client communication, analysis, and the packaging / presentation of deliverables</li>
<li>Develop measurement and analytic plans</li>
<li>Develop best-in-class analytic deliverables, presenting them to internal team members and the client team</li>
<li>Author and maintain comprehensive Standard Operating Procedures (SOPs) and process documentation to support operational excellence.</li>
<li>Perform documentation governance activities, including due diligence reviews, change management tracking, and maintenance of program records.</li>
<li>Engage cross-functional stakeholders to elicit requirements, evaluate business needs, and deliver solution recommendations through formal presentations and consultations.</li>
<li>Work with team members and the client team to scope, shape and transform business questions into analyses leading to actionable results</li>

</div>
<h2>What you’ll bring to us:</h2><div>

<li>5+ years of experience in contact center analytics</li>
<li>Proficiency in SQL query building</li>
<li>Analytic thinker with a proven ability to interpret analytic output and translate data into insights and strategic recommendations</li>
<li>Experience working with large-scale customer databases, datasets or tables communicating summarized analytical findings</li>
<li>Data-cleansing and standardization of data experience</li>
<li>Knowledge of statistical concepts (e.g., significance testing, sampling, etc.)</li>
<li>Proficiency with Excel including Pivot Tables and fluent use of PowerPoint</li>
<li>Manage small to medium scale projects</li>

<p> </p>
<p><strong>Skills that are a plus:</strong></p>
<p><strong> </strong></p>

<li>Experience working with telephony systems</li>
<li>Experience in healthcare</li>
<li>Working knowledge of multivariate statistics</li>
<li>Working knowledge of programming languages such as SAS, Python or R</li>
<li>Graduate degree in business, economics, or quantitative methods preferred but not required</li>
<li>Background or experience in IT projects</li>
<li>Proficiency with Power BI and/or other data visualization tools</li>
<li>Experience in digital transformation or system integration projects</li>

</div>

Senior Business Data Analyst (Contact Center Analyst)

<div><span>At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.</span></div><div><br /></div><div>As a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX), you will design, deploy, and optimize next-generation, customer-facing agentic workflows. You will work on a unified platform that bridges the gap between digital discovery (via Google Search and Maps) and front-line customer operations (chat, voice, and retail/commerce touchpoints).</div>
<div> </div>
<div>You will use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications, but your core focus will be implementing Code Agents—leveraging programmatic SDKs (such as cxas-scrapi), writing custom Python/TypeScript tool callbacks, and utilizing localized CLI workflows to programmatically structure, lint, test, and sync complex agent hierarchies. You will merge the speed of low-code visual canvas building with the absolute determinism of custom-coded logic.</div>
<h2>What you'll be doing:</h2><div>
<ul>
<li>Develop Multi-Agent Architectures: Build and configure modular, hierarchical agent networks (Root/Steering agents and targeted Sub-agents) using a combination of the CX Agent Studio canvas and programmatic Code Agents.</li>
<li>Write Custom Code Tools &amp; Callbacks: Program specialized backend logic, data transformation scripts, and custom tool callbacks in Python or TypeScript to extend agent capabilities beyond basic natural language prompts.</li>
<li>Leverage GECX Engineering CLI &amp; Tooling: Run automated code-first developer workflows utilizing uv environments and the cxas CLI for structural static linting (cxas lint) and advanced semantic instruction validation (cxas llm-lint).</li>
<li>Design Generative Playbooks &amp; Control Flows: Author and maintain structured, XML-like agent instructions (&lt;role&gt;, &lt;constraints&gt;, &lt;taskflow&gt;) that natively hook into custom Python tools ({@TOOL: custom_script}) and sub-agent routing syntax ({@AGENT: specialized_subagent}).</li>
<li>Program Enterprise Integrations: Seamlessly hook Code Agents into live databases, product catalogs, CRMs, and CCaaS networks (e.g., Genesys, Avaya) via Model Context Protocol (MCP) or secure OpenAPI webhooks.</li>
<li>Automate Quality &amp; Evaluation (CI/CD): Script programmatic, golden-scenario test cases and simulation evals using simulation frameworks to test multi-turn agent trajectories, preventing hallucinations and conversational regressions before sync-to-prod.</li>

</ul></div>
<h2>Skills and experience you will bring:</h2><ul>
<li>Bachelor’s degree in computer science, engineering field, or equivalent practical experience.</li>
<li>3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.</li>
<li>Strong proficiency in Python or TypeScript/Node.js, with hands-on experience handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooks.</li>
<li>Experience utilizing Git-based developer workflows and command-line interfaces (CLIs) for software versioning and deployment.</li>
<li>Hands-on experience building with Google’s GECX Code Agent tooling (e.g., cxas-scrapi workspace/SDK, Python-based agent foundries).</li>
<li>Good technical understanding of Dialogflow CX, CX Agent Studio, or similar advanced, stateful conversational frameworks.</li>
<li>Experience deploying streaming, low-latency audio-to-audio (A2A) voice agents and integrating with telephony (SIP/RTP) or CCaaS partner environments.</li>
<li>Solid grasp of prompt engineering safety protocols, blocklists, and programmatic fallback behaviors (e.g., before_model_callback or after_tool_callback hooks).</li>
<li>Experience with BigQuery or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and build data-driven performance metrics.</li>
</ul>

Conversational AI Engineer - Google/GECX & Code Agents

<div><span>At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.</span></div><div><br /></div><div>The TTEC Digital Microsoft Partner Practice, consisting of over 100 experts globally and growing, have the most recent certifications and experience with Azure AI, Power Platform and Microsoft Business Applications, earning them AI Inner Circle Awards, Eagle Awards, Partner of the Year, and eleven Inner Circle awards, all of which validate our employees' innovative industry solutions that fuel our clients' exceptional customer experience (CX).</div>
<div> </div>
<div>We are seeking an experienced Senior Data Engineer to lead the design and delivery of end-to-end data platforms for our clients across the Microsoft Azure Data &amp; AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and Azure Databricks.<br />This is a senior, hands-on technical role: you will own architecture and data modeling decisions, build production-grade pipelines yourself, and mentor other engineers, while also acting as a credible technical voice with client stakeholders.<br />The ideal candidate has deep experience delivering the full data lifecycle - ingestion, cleaning, preparation, analytics, and activation - and is comfortable designing the APIs and Model Context Protocol (MCP) integrations that let front-line systems and Data Agents / agentic AI interfaces consume that data.</div>
<h2>What You'll Be Doing</h2><div>
<p><strong>End-to-End Platform Architecture</strong></p>

<li>Lead the design and build of end-to-end data platforms spanning ingestion, cleaning, preparation, transformation, analytics, and activation, using Azure Data Factory, Microsoft Fabric (Lakehouse, Warehouse, OneLake), and/or Azure Databricks with PySpark, Python, and SQL.</li>
<li>Architect Medallion (Bronze, Silver, Gold) lakehouse patterns using OneLake/Delta Lake, balancing performance, reliability, and cost.</li>
<li>Own data modeling for client engagements - dimensional, normalized, and semantic layers - so that data is trustworthy, reusable, and analytics-ready across domains.</li>
<li>Design batch and streaming ingestion patterns, including Fabric Data Factory/pipelines, Azure Databricks Structured Streaming, and event-driven architectures (e.g., Event Hubs).</li>
<li>Identify and resolve architectural risk and technical debt, and optimize pipelines for performance and cost.</li>

<p><strong>APIs, Data Agents &amp; Activation</strong></p>

<li>Design and build APIs and data services that activate governed data for client analytics, reporting, and downstream applications.</li>
<li>Design MCP (Model Context Protocol) and API-based integrations that let front-line business systems, Fabric/Copilot Data Agents, and other agentic AI interfaces securely query and exchange data with the platform.</li>
<li>Partner with AI/Architecture teams to expose enterprise data to Data Agents and Generative AI applications (e.g., Fabric Data Agents, Azure AI Foundry) in a governed, reusable way.</li>
<li>Implement data governance patterns using Microsoft Purview and/or Unity Catalog, including access control, metadata, and lineage.</li>
<li>Support production operations and incident response for critical pipelines and activation services on client engagements.</li>

<p><strong>Technical Leadership &amp; Client Engagement</strong></p>

<li>Mentor and provide technical direction to Data Engineers, reviewing code, data models, and designs to raise delivery quality.</li>
<li>Act as a trusted technical resource to client stakeholders, explaining architecture trade-offs and design decisions in clear terms.</li>
<li>Contribute to reusable frameworks, accelerators, and engineering standards used across engagements.</li>
<li>Support presales activities where needed, including technical input on estimates, proposals, and solution design.</li>
<li>Evaluate new capabilities across Fabric and Azure Databricks and recommend where they add value for client platforms.</li>

</div>
<h2>What You'll Bring to the Role</h2><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical discipline.</li>
<li>5-8 years of experience in data engineering, with strong ownership of production data pipelines on Azure.</li>
<li>Expert-level proficiency in Python, SQL, and PySpark for building distributed data pipelines at scale.</li>
<li>Deep hands-on experience with the Microsoft Azure Data &amp; AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and/or Azure Databricks, including Delta Lake/OneLake and Medallion architecture patterns.</li>
<li>Strong background in data modeling, schema design, and enterprise data architecture across the full lifecycle from ingestion to activation.</li>
<li>Experience designing APIs and MCP-based integrations that exchange data with front-line systems, Data Agents, and other agentic AI interfaces.</li>
<li>Experience with orchestration and CI/CD (Fabric pipelines, Azure Data Factory, Databricks Workflows, Azure DevOps).</li>
<li>Strong knowledge of data governance and security tooling, including Microsoft Purview and/or Unity Catalog.</li>
<li>Demonstrated ability to mentor engineers and lead technical design discussions on client-facing engagements.</li>
<li>Strong problem-solving skills and ability to troubleshoot complex, large-scale data issues independently.</li>
<li>Excellent communication skills, with the ability to explain technical trade-offs to both technical and client audiences.</li>
<li>Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) and/or Databricks certifications preferred.</li></ul>

Senior Data Engineer - Microsoft Data & AI

<div><span>At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.</span></div><div><br /></div><h2><strong>Senior Data Engineer</strong></h2>
<h2><strong>Position Purpose</strong></h2>
<p><strong>The Senior Analyst – Data Engineering is part of TTEC Digital’s Analytics &amp; Insights Experience (AIX) team, supporting Data Science and Engineering initiatives involving data modeling, data pipelines, cloud platforms, APIs, and analytics solutions.</strong></p>
<p><strong>The role works closely with Data Scientists, Engineers, Project Leads, and Managers on implementation, migration, and modernization projects, with responsibility for developing reliable and scalable data solutions.</strong></p>
<h2><strong>Key Responsibilities</strong></h2>
<ul>
<li>
<p><strong>Analyze raw data and develop, maintain, and optimize datasets and data pipelines.</strong></p>
</li>
<li>
<p><strong>Improve data quality, performance, reliability, and efficiency.</strong></p>
</li>
<li>
<p><strong>Design and develop data engineering solutions in cloud environments.</strong></p>
</li>
<li>
<p><strong>Create and maintain technical solution, architecture, and design documentation.</strong></p>
</li>
<li>
<p><strong>Work independently as well as collaboratively within large project teams.</strong></p>
</li>
<li>
<p><strong>Support implementation, upgrade, migration, and modernization initiatives.</strong></p>
</li>
<li>
<p><strong>Develop internal training materials, processes, standards, and best practices.</strong></p>
</li>
<li>
<p><strong>Provide technical guidance and cross-training to junior Data Engineers and team members.</strong></p>
</li>
<li>
<p><strong>Continuously develop technical skills through hands-on experience and formal learning.</strong></p>
</li>
<li>
<p><strong>Support pre-sales activities, including technical inputs and effort estimation.</strong></p>
</li>
<li>
<p><strong>Collaborate with Project Management to ensure projects are delivered on time and within budget.</strong></p>
</li>
</ul>
<h2><strong>Competencies</strong></h2>
<ul>
<li>
<p><strong>Strong interpersonal, communication, and problem-solving skills.</strong></p>
</li>
<li>
<p><strong>Results-oriented, flexible, resourceful, and customer-focused.</strong></p>
</li>
<li>
<p><strong>Ability to prioritize and manage multiple projects and deliverables.</strong></p>
</li>
<li>
<p><strong>Ability to work effectively with diverse teams and stakeholders.</strong></p>
</li>
<li>
<p><strong>Strong understanding of technical concepts wit</strong></p>
</li>
</ul>

Ttecdigital

Open jobs at Ttecdigital

Senior Business Data Analyst (Contact Center Analyst)

Conversational AI Engineer - Google/GECX & Code Agents

Senior Data Engineer - Microsoft Data & AI

Senior Data Engineer - Microsoft Data & AI

Senior Data Engineer

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