Your Opportunity

Scion is paving a path in student living and the Facilities Manager is a keystone team member in the execution of our vision. This position ensures safety and functionality of the property’s buildings and equipment and ensures optimal service is carried out by the onsite Facilities team and any third-party vendors.

The Facilities Manager is a subject matter expert and experienced leader who excels in a fast-paced, agile, collegiate environment. This role demands superior problem solving, leadership and unwavering follow through. Those in the Facilities Manager position may also be asked to assist other properties.

Your Benefits

• FLSA Status Exempt
• Discretionary annual bonus
• Paid Time Off + Floating Holidays
• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Parental Leave
• Learning reimbursement opportunities

Your Responsibilities 

• Manage all building services and preventative maintenance programs to the best of industries practices, the Scion’s Standard Operating Procedures, and in compliance with the State/Federal Govt./OSHA’s Codes/regulations.
• Manage the day-to-day operations including but not limited to heating, ventilating, air conditioning (HVAC), plumbing and piping, fire protection, and general building maintenance and troubleshooting, building automation systems and building maintenance
• Monitor systems and provides diagnostics, preventative maintenance, annual testing, permitting, certification for all major building systems including, but not limited to: chilled water systems with fan coil units, air handling units with outside condensers including roof top units (RTU), building stationary boilers, hot & cold water distribution systems (plumbing, pressure/pneumatic/storage tanks, variable frequency drive (and pumps & motors), domestic hot water heaters, building automation systems (BAS), electrical distribution systems, switchgears and controls, generators, uninterrupted Power supply (UPS), elevators and lifts, parking structures (ventilation/drainage Systems, T-Joints), entrance & exit Gates and overhead doors, shingled/tarred roof, TPO membrane roofing system, EIFS, brick, vinyl, & cementitious sideboard, ACP, curtain walls, insulated glass units (IGUs).
• Operate and manage all life safety systems including fire pumps, fire alarm monitoring panels, dry/wet sprinkler systems, visual and audible alarms, back flow preventers, smoke detectors, CO2 sensors/alarms, fire extinguishers, emergency lighting, means of egress, fire
• Prioritize and schedule maintenance work, assuring quality of work consistent with Scion’s standards.
• Manage the Facilities Technicians to ensure all service requests are completed within Scion standards and are appropriately and accurately
• Manage facilities budgets.
• Review completed work to verify conformance to standards or repair
• Ensure all emergency, routine maintenance/repairs are carried out in a timely and professional manner.
• Ensure all Preventive maintenance is carried out in a timely and professional manner.
• Respond promptly and effectively to all safety/risk-management-related issues at the
• Review completed work orders for accuracy of labor hours, materials’ cost, and track recurring equipment failures.
• Conduct regular inspection tours of buildings, interior common areas and the exterior of the property, equipment and surrounding grounds for deficiencies, potential safety, health, or code problems and necessary
• Prepare written reports summarizing findings, and advises other building users as appropriate, of the
• Provide recommendations for dealing with problems noticed in
• Oversee and supervise “Turn” preparation including the prompt inspection of vacated units, makes appropriate repairs and charges, and ensures completion as
• Inspect vacant units after repairs and maintenance have been completed to determine quality of work performed and readiness for
• Manage the maintenance spare parts and the tools inventory, determining which parts/tools to stock and their stock level and working directly with General Manager to maintain inventory of parts, tools, and supplies within
• Maintain shop appearance and all mechanical, supply, electrical and storage facilities on
• Ensure proper maintenance of equipment to ensure warranty compliance and extended useful life.
• Oversee all other contracted work in the building, obtaining bids and negotiating prices with vendors and contractors, as approved by the General Manager, Regional Manager or the Regional Facility Manager.
• Coordinate deliveries, schedules, and performance of all facility related
• Ensure proper safety procedures are followed, personal protective equipment is used, and health & safety policies are
• Manage process for keying and coring/coding of locks and maintain lock procedures, logbooks and protocols for key management and
• Effectively implement standard operating procedures and preventive maintenance programs according to Scion’s
• Take part in emergency preparedness planning and acts as essential personnel in
• Escalate unique or urgent repairs/replacements to General Manager and Regional Facilities Manager.
• Maintain records on all major systems including maintenance manuals, manufacturer’s cut sheets, warranties, and equipment
• Work closely with the General Manager and Regional Facilities Manager to manage, formulate and track facilities and capital
• Hire, train and develop Facilities team members, holding them accountable for delivering a high level of

The responsibilities listed above may not be all-inclusive.

What We Require

• High school diploma/GED, trade school diploma, or military training
• 8 years of relevant experience managing building system in multi-unit residential properties, 5 years of supervisory experience
• 5 years’ experience with building automation systems, and life safety systems
• EPA 608 Universal certification
• HVAC/EPA 608 Universal certification
• Certified Pool Operator (CPO), or intention to obtain within six months
• Expertise in plumbing, HVAC, electrical and mechanical systems as well as generally accepted maintenance practices
• Boiler operator or Stationary Engineer Certificate/License
• Ability to read and interpret documents such as design drawings, blueprints, safety guidelines, operating and maintenance instructions and procedural manuals
• Ability to manage multiple projects simultaneously, set priorities and meet deadlines
• Basic computer working knowledge, including Microsoft Office and CMMS
• Valid driver’s license
• Ability to stand 8 hours or longer per day and lift up to 100 lbs. as necessary

 Operational Details

• Job location is at the assigned property. May be required to travel periodically.
• Serves in an “on-call” capacity, except during approved PTO periods.

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

IND3 #wearehiring #werehiring 

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

Role Description

• As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here