TTEC Digital

Director

• Launch and scale a new Splunk consulting capability at TTEC Digital
• Define and execute the Splunk go-to-market strategy with sales, alliances, and executive leadership
• Develop relationships with Splunk and Cisco leaders, field sellers, solution teams, and partner managers
• Lead technical qualification, discovery workshops, executive presentations, demonstrations, architecture sessions, and pursuit strategy
• Translate customer needs into differentiated Splunk solutions and communicate value to executive and technical audiences
• Support proposals, RFP responses, estimates, architecture diagrams, pricing inputs, and Statements of Work
• Build qualified pipeline, secure initial reference customers, and expand successful engagements
• Serve as senior Splunk technical authority and trusted advisor
• Design secure, scalable solutions across Splunk Cloud, Splunk Enterprise, Enterprise Security, ITSI, Observability, and related capabilities
• Architect Splunk integrations across CCaaS platforms, including integration patterns, data ingestion strategies, telemetry models, security requirements, and reference architectures
• Develop assessments, target architectures, implementation approaches, migration strategies, roadmaps, and operating models
• Build the Splunk Professional Services Practice, including business plan, operating model, service portfolio, staffing strategy, and growth roadmap
• Define market-ready services, delivery methodologies, implementation frameworks, governance, quality controls, estimating models, Statements of Work, runbooks, and accelerators
• Establish practice plans covering bookings, revenue, backlog, utilization, margin, capacity, skills, investments, and growth priorities
• Lead early engagements and transition to portfolio and practice oversight as the team scales
• Establish delivery standards and act as the senior escalation point for technical risk, scope issues, architecture decisions, and strategic customer concerns
• Recruit, onboard, coach, and develop consulting talent
• Establish career paths, competency expectations, certification plans, mentoring, and continuing education
• Own the professional services relationship with Splunk and coordinate with Cisco leadership and alliance teams
• Develop joint account strategies, field enablement, customer workshops, integrated offerings, and co-selling motions
• Track practice strategy, customer wins, delivery performance, financial objectives, repeatable methodologies, partner relationships, and team scalability

Director, Splunk Practice Leader

Solutions Engineer

• Engage in new and existing customer pursuits as a highly technical and consultative sales support resource
• Deliver presentations and demonstrations in person and remotely
• Collaborate with Account Executives and Client Success Managers to define solutions, pursuit strategies, and win odds
• Understand prospect pain points, motivations, competitive landscapes, and decision criteria
• Establish competitive positioning and influence sales strategy
• Prepare presentation and demonstration agendas, stories, tailored demos, and vision clips
• Position proofs of concept, establish success criteria, coordinate POC contracting, and support successful outcomes
• Create technical solution documentation, solution scopes, sales quotes, and Statements of Work
• Maintain expertise in CX technologies, TTEC Digital offerings, partner solutions, and competing technologies
• Conduct webinars and present at industry conferences, user groups, blogs, and other public advocacy activities
• Review and approve sales quotes using Experlogix
• Author Statements of Work using Contracts Express
• Support project transitions and provide solution design and architecture escalation support
• Participate in customer sales calls, design meetings, technical discussions, technical research, RFP support, and continuing education

Solution Architect – Presales

Project Manager

• Lead day-to-day delivery of ServiceNow implementation and consulting projects across various modules
• Develop and manage project plans, timelines, milestones, and key deliverables
• Coordinate project teams using Agile, Waterfall, or Hybrid methodologies
• Monitor project progress, budgets, resources, and forecasts
• Identify and manage project risks, issues, dependencies, and scope changes
• Partner with stakeholders and clients through updates, status reports, and recommendations
• Facilitate project meetings, planning sessions, and governance activities
• Coordinate consultants, developers, architects, business analysts, QA, and client stakeholders
• Support testing, deployment, go-live activities, and post-implementation transitions
• Remove blockers, maintain delivery quality, and ensure customer satisfaction
• Contribute to project closure, lessons learned, financial reconciliation, and handoff to support teams
• Own project schedules, budgets, hours, resource planning, risks, status reporting, and daily delivery execution
• Work with the Engagement Manager, Solution Architect, consultants, and wider delivery team to surface risks and drive issues to resolution

ServiceNow Project Manager

Data Scientist

• Develop, train, and deploy production-grade predictive and prescriptive machine learning models.
• Architect, fine-tune, and evaluate enterprise Generative AI systems, including RAG pipelines, custom LLM applications, and prompt engineering frameworks.
• Design and deploy autonomous AI agents and multi-agent workflows for complex client business challenges.
• Build advanced analytics models to measure campaign performance, predict customer behavior, and maximize long-term ROI.
• Translate machine learning metrics and algorithmic outcomes into executive-ready presentations and dashboards.
• Analyze raw client data and build optimized analytics datasets within cloud environments.
• Lead external-client workshops to identify objectives, map data landscapes, and translate business problems into data science methodologies.
• Create solution and design documentation for client data science architectures and ML pipelines.
• Work independently and as part of large teams across multiple client engagements.
• Cross-train junior Data Scientists/Analysts and provide technical leadership and code reviews.
• Continue developing AI/ML skills through on-the-job and formal learning.
• Support pre-sales by scoping client opportunities and estimating work and effort.

Senior Consultant, Data Science – AI

• Develop, train, and deploy production-grade predictive and prescriptive machine learning models
• Architect, fine-tune, and evaluate enterprise Generative AI systems, including RAG pipelines, custom LLM applications, and prompt engineering frameworks
• Design and deploy autonomous AI agents and multi-agent workflows
• Build advanced analytics models to measure campaign performance, predict customer behavior, and maximize ROI
• Create executive-ready presentations and dashboards communicating algorithmic outcomes, metrics, business value, and ROI
• Analyze raw client data and build optimized analytics datasets in cloud environments
• Lead client workshops to identify business objectives, map data landscapes, and translate business problems into data science methodologies
• Create solution and design documentation for client data science architectures and ML pipelines
• Work independently and across large teams on multiple client engagements
• Crosstrain junior Data Scientists/Analysts and provide technical leadership and code reviews
• Develop skills through on-the-job and formal learning to stay current with AI/ML trends
• Assist in pre-sales by scoping client opportunities and estimating work and effort

Director, Splunk Practice Leader

Solution Architect – Presales

ServiceNow Project Manager

Senior Consultant, Data Science – AI

Senior Consultant, Data Science & AI