
Seeq is seeking a Director of Professional Services, EMEA to lead our customer delivery function across Europe, the Middle East, and Africa. In this role, you will help process manufacturers turn operational priorities into deployed, adopted solutions on the Seeq Industrial AI Platform across Oil & Gas, Chemicals, Pharma, Power, Semiconductors, and other process industries.
You will own the EMEA Professional Services strategy, operating model, and P&L, building a high-performing regional team to implement scalable customer solutions—including AI-enabled and agentic workflows—grounded in process data, domain context, and measurable business outcomes. You will standardize delivery methodologies, launch packaged offerings, and drive cross-functional alignment with Sales, Customer Success, Support, Product, and Finance.
Key Responsibilities
- Strategy & P&L Ownership: Own EMEA Professional Services strategy, operating model, sales, and P&L (bookings, revenue, margins, cash flow); deliver predictable quarterly performance.
- Team Building & Leadership: Build and scale an EMEA organization spanning implementation, solution architecture, data engineering, AI engineering, and project/program management.
- Standardized Offerings: Establish delivery methodologies and packaged offerings tailored to process industries (e.g., utilities/energy optimization, asset health, golden batch, yield/throughput, emissions monitoring, deviation/RCA, digital operator workflows).
- Capacity & Resource Planning: Drive forecasting and capacity planning (hiring, subcontractors, partners), optimizing utilization, realization, attach rate, rates, and delivery mix.
- Sales Alignment & Deal Execution: Partner with Sales and Solutions Consulting on scoping, SOWs, pricing, and deal reviews to improve win rates and deal quality while reducing delivery risk.
- Cross-Functional Collaboration: Partner with Customer Success, Support, and Product to ensure seamless handoffs, measurable adoption, and scale-out from pilot to multi-site/global rollouts.
- Partner Ecosystem: Build and manage a partner ecosystem (industrial SIs, EPCs, OT vendors, regional specialists); define enablement, certifications, QA, and blended delivery models.
- PS Tooling & Analytics: Implement and mature PSA, CRM, and project accounting systems for pipeline visibility, resourcing, profitability, and delivery health.
- Governance & Risk: Define and enforce delivery governance (executive steering, change control, escalation handling), ensuring compliance with safety and operational continuity.
- AI Validation & Practice: Establish delivery practices for evaluating and validating AI-enabled solutions in process-manufacturing contexts, covering data readiness, security, and human oversight.
- Continuous Improvement: Launch automation and assets (templates, accelerators, validated integrations, migration playbooks) to improve execution speed, quality, and margins.
- Executive Sponsorship: Serve as executive sponsor for strategic accounts; represent Services in customer steering committees and executive QBRs.
Requirements
- 10+ years in Professional Services or Consulting for enterprise SaaS, industrial software, or AI.
- 5+ years leading multi-region or global delivery teams.
- Proven ownership of a Services P&L/Division with consistent achievement of revenue, margin, utilization, and delivery KPIs.
- Deep experience designing and governing complex delivery programs in process manufacturing.
- Strong familiarity with process/OT data and control layers: data historians, DCS/SCADA, MES/LIMS, and batch records.
- Expertise in scoping, SOWs, sales enablement, pricing, change control, and project accounting across greenfield and brownfield plants (on-prem, hybrid, air-gapped, cloud).
- Hands-on experience with PSA/CRM and project accounting tools to maintain operational rigor.
- Proven ability to lead the delivery of AI-enabled, advanced analytics, or agentic solutions for enterprise customers.
- Exceptional leadership skills in recruiting, coaching, and building inclusive, high-performing distributed teams.
Preferred Qualifications
- Experience implementing AI-enabled or agentic workflows in process manufacturing, including validation and human-in-the-loop oversight.
- Track record of turning custom implementations into repeatable industry solution templates or partner-delivered offerings.
- Hands-on familiarity with common industrial platforms (historians, MES, ML frameworks) and integration with ERP/CMMS/QMS.
- Experience scaling partner-led delivery and certification programs with industrial SIs, EPCs, and OT vendors.
- Domain breadth across upstream/midstream/downstream O&G, Chemicals, or Pharma/biotech.
Travel & Work Environment
- Travel: 25–40% global travel for customer engagements, partner enablement, and leadership meetings.
Timezone overlap
UTC+0–+3
Benefits
Open to
Europe
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