6sense Director, Business Solutions at 6sense leading strategy and delivery of enterprise applications with a focus on AI-enabled business transformation. Partner with business functions to simplify processes and improve data quality.
Responsibilities
Enterprise Strategy & Business Partnership
Own a business-aligned application roadmap and investment portfolio, balancing growth, operational efficiency, risk, user experience and technical debt.
Partner with functional leaders to define business problems, accountable process owners, funding, expected benefits and adoption commitments before delivery begins.
Run transparent prioritization and portfolio reviews; challenge low-value requests and communicate trade-offs, dependencies and decisions clearly.
AI-Enabled Business Transformation
Build a prioritized portfolio of AI and automation opportunities across business workflows, starting with process redesign and data readiness rather than tool selection.
Lead build-versus-buy-versus-configure decisions with Enterprise AI Engineering, application owners, Security, Legal and Finance.
Set standards for discovery, prototypes, evaluation, user acceptance testing, rollout and value realization. Require evidence before moving pilots into production.
Champion practical AI adoption through training, workflow changes and feedback loops; distinguish estimated benefits from validated outcomes.
Ensure AI-enabled workflows have defined permissions, human approval points, monitoring, escalation and safe fallback paths.
Application Architecture, Delivery & Reliability
Lead business solutions partners, delivery leaders, engineers and administrators through clear ownership, shared standards and sustainable delivery practices.
Qualification
AI Competency — EssentialApplied deliverySolution judgmentTechnical fluencyEvaluation and economicsResponsible AIAdoption leadershipEnterprise Applications & LeadershipExperience with quote-to-cashExposure to WorkatoRelevant applicationSuccess Measures
Required
AI Competency — Essential, Not Optional
Applied delivery: Demonstrated experience taking an AI-enabled business workflow from discovery through production, adoption and measured results—not only personal use of AI tools.
Solution judgment: Explain the trade-offs among deterministic automation, embedded SaaS AI, retrieval-augmented generation and agentic workflows; know when AI should not be used.
Technical fluency: Understand large language model limitations, grounding, context design, APIs, integration platforms and permission-aware tool access. Be able to review prototypes and challenge architecture with engineering partners; model research expertise is not required.
Evaluation and economics: Define representative test cases, quality thresholds, failure modes, human review requirements and production monitoring. Compare business value with implementation, usage, maintenance and oversight costs.
Responsible AI: Recognize risks including inaccurate outputs, sensitive-data exposure, prompt injection, excessive permissions and overreliance. Translate risk findings into controls and deployment decisions with the appropriate specialists.
Adoption leadership: Teach teams how to use approved AI capabilities responsibly, redesign workflows around them and validate sustained benefits.
Enterprise Applications & Leadership
Substantial progressive experience leading enterprise applications or business systems, including people leadership, portfolio ownership and cross-functional transformation.
Strong Salesforce ecosystem knowledge and experience connecting revenue and finance processes across enterprise systems.
Proven ability to translate ambiguous business needs into roadmaps, investment decisions and reliable delivery.
Working knowledge of integration architecture, data governance, secure application lifecycle practices, change management and operational resilience.
Preferred
Leadership in a SaaS or similarly fast-changing business environment.
Experience with quote-to-cash, customer lifecycle and financial operations transformation.
Exposure to Workato, Microsoft 365 Copilot, Claude Enterprise or comparable enterprise AI and automation capabilities; tool familiarity alone does not establish AI proficiency.
Relevant application, architecture, change management or AI governance certifications.
Success Measures
Set baselines and agree targets with business owners after assessing the portfolio. The following are proposed measures, not existing commitments.
Evidence of Success
Validated reduction in manual effort, process cycle time or rework; benefits confirmed by the business owner and separated from estimates.
