Top Tech Jobs & Startup Jobs

Leads the development of a lifecycle and CRM capability for a digital-presence services business. Responsibilities include assessing customer journeys, defining lifecycle strategy and roadmaps, designing onboarding, activation, retention, renewal, win-back, and expansion programs, establishing segmentation and triggers, connecting customer and service data, improving personalization, measuring experiments, and creating cross-functional operating models. The leader will also guide initial journey delivery and build sustainable internal lifecycle capabilities.

Leads brand direct-response creative production, including briefing, creative development, quality review, feedback, testing, and optimization. Partners with brand, product marketing, creative, and external agency stakeholders to deliver high-quality, brand-consistent assets on tight timelines. Requires strong experience in brand marketing, creative production, direct response, stakeholder management, and management consulting.

Lead cybersecurity consulting projects across strategy, risk, compliance, operations, data protection, offensive security, resilience, and training. Manage client relationships, project delivery, reporting, proposals, and consultant development. Contribute to cybersecurity thought leadership, internal initiatives, events, and publications. Apply cybersecurity frameworks, infrastructure knowledge, cloud technologies, security solutions, and relevant certifications to solve complex client problems.

Manage high-volume in-app editorial and marketing content delivery across multiple app surfaces. Own intake, tracking systems, calendars, asset trafficking, QA, approvals, launch coordination, risk escalation, and cross-functional status cadences. Partner with creative, brand, product marketing, product, engineering, and agency teams to deliver concurrent work on schedule. Improve workflows through templates, automation, and generative AI while maintaining human quality review.

Leads client project delivery, including scope, schedules, budgets, risks, governance, workshops, and executive reporting. Performs business analysis, process mapping, requirements gathering, gap analysis, and technology evaluations. Supports AI, automation, data, cloud, ERP, CRM, and digital transformation initiatives, translating business needs into technical solutions. Builds client relationships, develops consulting deliverables and proposals, facilitates adoption and change management, and mentors junior consultants.

Leads audience-centered brand strategy across storytelling, communications, customer journeys, and experience touchpoints. Establishes narrative and experience frameworks, translates human insights and performance data into strategic direction, defines KPIs, and guides multidisciplinary teams across Creative, Growth, Analytics, and Client Leadership. Partners with senior clients to identify growth opportunities, strengthen brand ecosystems, improve creative effectiveness, and connect strategic work to measurable business outcomes.

Develop data science, machine learning, and generative AI solutions for marketing, customer, and product challenges. Responsibilities include acquiring and analyzing structured and unstructured data, building predictive models and LLM systems, deploying AI applications, optimizing prompts, supporting data engineering and DevOps, and delivering strategic insights. The consultant collaborates with client leadership, engineering, product, and analytics teams while communicating findings through presentations, dashboards, datasets, bots, and other tools.

Designs end-to-end cloud, data, machine learning, deep learning, generative AI, and agent-based architectures for client engagements. Leads architecture reviews, technical governance, production readiness, security, compliance, scalability, reliability, and cost optimization. Partners with senior stakeholders, supports pre-sales scoping and proposals, mentors consultants and engineers, and develops AI reference architectures and internal accelerators.

Leads AI transformation strategy and delivery for energy, transportation, and industrial clients. Identifies high-value AI use cases, develops roadmaps, manages cross-functional implementation programs, evaluates AI platforms, and drives process redesign, governance, adoption, training, and change management. Partners with executives, operational leaders, technical teams, and Applied AI Leads while overseeing multiple workstreams, measuring business impact, presenting recommendations, mentoring consultants, and developing reusable transformation frameworks.

Lead AI transformation strategy and delivery for energy, transportation, and industrial clients. Identify high-value AI use cases, develop transformation roadmaps, manage cross-functional implementation, establish governance and KPIs, guide AI platform adoption, lead process redesign, drive organizational change, and advise executive stakeholders. The role emphasizes strategy, stakeholder alignment, consulting delivery, and adoption rather than coding or model development.