Senior Director, Technology Strategy

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November 15

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Shift Paradigm

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Artificial Intelligence • Enterprise • SaaS

Shift Paradigm is a leading digital transformation firm that helps organizations align technology, data, and customer experiences to meet business needs using the power of AI. The company enables enterprises to improve operations, optimize technology and data for efficiency, and achieve accelerated growth by transforming business processes. Shift Paradigm offers strategic guidance to foster sustainable growth, integrates modern enterprise ecosystems, and builds personalized customer experiences. Recently, Shift Paradigm expanded its capabilities by acquiring design, UX, and development firm Principle Studios.

201 - 500 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Lead solution architecture and data strategy across key enterprise engagements, ensuring alignment with client objectives and Shift Paradigm’s technology roadmap. • Develop forward-looking integration frameworks that unify marketing automation, CRM, CDP, and CMS ecosystems into cohesive, data-driven operating models. • Drive architectural standards, patterns, and governance models that support scale, performance, and innovation. • Serve as a trusted advisor to executive stakeholders on emerging technologies, data strategies, and AI/ML enablement. • Collaborate with Sales, Partner Alliances, and Go-To-Market (GTM) teams during pre-sale activities. • Lead or support scoping sessions, translating high-level business goals into technical recommendations and level-of-effort (LOE) estimates. • Develop and present solution roadmaps, architecture diagrams, and phased delivery approaches aligned to client maturity and growth goals. • Create and maintain reusable pre-sale assets (architecture templates, proposal frameworks, estimation models) to improve speed-to-proposal. • Work closely with Client Success, Project Management, and Delivery leaders to ensure projects are executed with excellence, maintaining architectural integrity through deployment. • Embed AI/ML capabilities across client ecosystems to enhance personalization, predictive modeling, and marketing automation performance.

🎯 Requirements

• 10+ years in marketing technology, solution architecture, or data engineering roles within digital agencies or enterprise environments. • Extensive experience leading client delivery discussions both in a pre-sale and a post-sale motion, with excellent communication, presentation, and consultative skills. • Proven experience designing or overseeing integrations across at least three of the following ecosystems: Data Warehouses / CDPs – e.g., Snowflake, Databricks, BigQuery, Redshift, Adobe RTCDP, Salesforce Data Cloud, Segment, Hightouch • Marketing Automation Platforms – e.g., Adobe Experience Platform & Journey Optimizer, Marketo Engage, Salesforce Marketing Cloud, Braze, Iterable, HubSpot • CRMs – e.g., Salesforce, Microsoft Dynamics, HubSpot • CMS / Web Platforms – e.g., Adobe Experience Manager, AEM Edge Delivery, Contentful, WordPress, Sitecore • Deep understanding of data modeling, identity resolution, and customer 360 architecture. • Experience integrating and operationalizing AI/ML and predictive analytics across marketing and data platforms. • Strong background in API design, data contracts, microservices, and cloud infrastructure (AWS, Azure, GCP). • Exceptional communication skills with the ability to translate technical concepts into business outcomes for executive audiences. • Proven leadership experience mentoring cross-functional teams and influencing strategic direction.

🏖️ Benefits

• medical • dental • vision • STD/LTD • Life/AD&D • Flexible Paid Time Off • various other ancillary benefits and perks