- Company Name
- Softchoice
- Job Title
- Data and AI Customer Solutions Architect
- Job Description
-
**Job Title**: Data and AI Customer Solutions Architect
**Role Summary**
Lead end‑to‑end enterprise AI and data platform sales, crafting and delivering AI strategies that drive measurable business outcomes. Act as a trusted advisor to C‑level clients, aligning AI roadmaps with strategic goals and navigating cross‑vendor ecosystems to unlock value.
**Expectations**
- Own the full executive sales cycle—discovery, proposal, negotiation, and close—while driving pipeline growth and maintaining rigorous Salesforce hygiene.
- Deliver ROI‑focused business cases that quantify productivity gains, cost reductions, and compliance improvements.
- Partner with Microsoft, AWS, and Google Cloud to secure co‑sell opportunities, funding, and technical workshops.
- Champion responsible AI practices, integrating governance, identity, and data‑protection patterns into every solution.
**Key Responsibilities**
1. Map customer pain points to tailored AI/data solutions and drive multi‑workload programs.
2. Orchestrate virtual teams (pre‑sales architects, delivery, partners) to craft proposals, SOWs, and adoption plans.
3. Facilitate C‑level discussions, building executive alignment around AI initiatives.
4. Negotiate terms and secure signatures, ensuring profitability and strategic fit.
5. Maintain accurate pipeline data in Salesforce and produce weekly pipeline health reports.
6. Evangelize responsible AI, positioning governance, Purview, DLP, and COE patterns to mitigate risk.
7. Collaborate with account executives, GTM teams, and sales leadership to expand AI revenue.
**Required Skills**
- 5–10+ years of solutions‑sales experience in data platforms, analytics, or AI, with a track record of multi‑workload program sales.
- Deep technical knowledge of Microsoft Fabric, Azure AI, M365 Copilot & Copilot Studio/Agents; AWS Bedrock, SageMaker, and Amazon Q guardrails; GCP Vertex AI, Dialogflow/CCAI, BigQuery analytics.
- Expertise in ROI modeling, business case development, and success‑metric definition.
- Strong executive engagement and negotiation skills; proven ability to influence C‑suite decisions.
- Cross‑functional leadership: collaborating with technical architects, delivery teams, and vendor partners.
- Proficiency with Salesforce, sales‑operations dashboards, and pipeline discipline.
- Knowledge of responsible AI governance frameworks (identity, Purview, DLP, COE).
**Required Education & Certifications**
- Bachelor’s degree in Business, Computer Science, Engineering, or related field.
- Relevant certifications preferred:
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Google Cloud Professional Data Engineer or equivalent.
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