Head of Data Science

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners.  This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot.   ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling.   BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures.   ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field.  * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment.  * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent.  * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support.  * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows.  * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns.  * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices.  * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling.  * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions.  * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support.  * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels.  * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land.  In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering.  * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools.  * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence.  * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act.  * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems.  * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive.  * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling.  * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling.  * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows.  * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners.    WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

WPP

WPP is the trusted growth partner for the world’s leading brands.  We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.    We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.   Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.    For more information, visit WPP.com.   HE OPPORTUNITY  We are seeking an experienced, visionary, and transformative SVP, Product to lead the critical capability area of Marketing Performance within the WPP Open platform. This is a truly unique opportunity to define the future of how WPP measures and attributes marketing effectiveness across our vast and diverse agency and client ecosystem.  Leveraging WPP's pioneering agentic marketing platform, you will lead the development of best-in-class solutions that turn live signals into predictive intelligence, empower our agencies and clients to drive superior outcomes, and solidify WPP Open's competitive edge. Your mandate will extend beyond traditional paid media measurement, encompassing a holistic view of performance across the entire Paid, Earned, Shared, and Owned media spectrum.  This role demands a leader who can not only set a compelling product vision, but also inspire and lead a multi-disciplinary team, ensuring robust commercial accountability and sustainable growth. You will directly contribute to achieving key WPP Open priorities, including driving profitability, maximizing strategic advantage, and delivering an integrated, intelligent experience for our users and clients.  JOB PURPOSE  The SVP, Product for Marketing Performance will be responsible for defining and executing the product vision, strategy, and roadmap for all capabilities related to marketing measurement, attribution and reporting within the WPP Open platform. This includes the development of visualizations and user experiences to democratize and utilize campaign and performance data, and the development of advanced analytics capabilities to enable Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Incrementality testing, and Geo-experimentation.  Including the use of agentic tooling for automated analytics outputs and conversational data analytics.  You will build, inspire, and mentor high-performing, 'full-stack' product teams comprising product managers, engineers, data scientists, UX/UI designers, and enablement specialists. A core part of your mandate will be to foster a culture of agility, innovation, collaboration, and continuous improvement, making decisive progress over perfection in a fast-paced environment.  KEY RESPONSIBLITIES Strategic Product Vision & Leadership: * Define and champion the end-to-end product vision, strategy, and roadmap for Marketing Performance within WPP Open, ensuring seamless alignment with WPP's overarching business goals, strategic product drivers, and client needs.  * Conduct in-depth market research, competitive analysis, and client needs assessment, relentlessly pursuing truly differentiating products that provide a clear competitive advantage.  * Translate complex business problems and evolving client challenges into clear, actionable product requirements and features, with a strong emphasis on holistic performance measurement.  * Develop and execute a clear strategy for integrating, harmonizing, and evolving existing performance measurement and reporting products/features into a unified, AI-enabled WPP Open offering, moving from customization to configurability.   Product Leadership & Team Transformation: * Lead, inspire, and mentor high-performing, multi-disciplinary 'full-stack' teams (Product Managers, Engineers, Data Scientists, UX/UI, Enablement specialists), fostering a culture of ownership, innovation, and continuous improvement.  * Set clear Objectives and Key Results (OKRs) and performance metrics for the Marketing Performance product area and individual team members, ensuring product KPI metrics track adoption, impact, and performance.  * Cultivate an environment where innovation thrives, talent flourishes, and every team member is empowered to deliver their best work.   Commercial Acumen & Growth: * Own a significant operating and capital expenditure budget for the Marketing Performance product area, making critical decisions within the financial framework.  * In partnership with commercial teams, define and manage the product commercials for your portfolio, including pricing strategy, revenue forecasting, and profitability analysis, ensuring robust commercial accountability and sustainable growth.  * Demonstrate ruthless prioritization to maximize business value and achieve ambitious goals, continually identifying and addressing customer pain points and opportunities.  * Ensure maximized product investment impact by simplifying the product portfolio and rationalizing product priorities effectively.   Cross-functional Collaboration & Stakeholder Management: * Collaborate seamlessly with Product, Engineering, Data Science, UX/UI Design, Data & Intelligence, Architecture & Infrastructure, and Enablement teams to ensure unified platform vision and successful development and delivery.  * Partner with WPP agency leadership, client teams and strategic external partners to understand evolving needs, gather feedback, and ensure optimal product market fit and adoption.  * Communicate product strategy, roadmap, and progress effectively and influentially to senior leadership, diverse stakeholders, and internal teams, translating complex concepts into clear, compelling presentations.  * Cultivate and manage high-impact relationships with key internal and external partners, driving collaborative initiatives and maximizing mutual value.  Product Development & Execution: * Oversee the entire product lifecycle from discovery and ideation through development, launch, and post-launch iteration, emphasizing agile and iterative development.  * Prioritize features and initiatives based on strategic impact, client value, technical feasibility, and business objectives, with a relentless focus on driving meaningful adoption and impact.  * Ensure timely delivery of high-quality, scalable products and features that meet defined requirements, performance standards, and the architectural principles of WPP Open.  * Define and monitor key performance indicators (KPIs) for product success, continually optimizing based on data and user feedback.   Domain Expertise & Innovation: * Maintain deep expertise in marketing performance measurement, advanced attribution models (MTA, MMM, including various methodologies), media mix optimization, incrementality testing, and experimentation design (e.g., geo-experimentation).  * Lead the application of AI and agentic tooling to enhance marketing performance reporting, diagnostics, automated analytics output (eg; Post Campaign Analyses), and recommendations, evolving towards conversational data analytics.  * Identify and evaluate emerging technologies and trends (in data architecture, analytics, AI) to ensure WPP Open remains at the forefront of marketing performance innovation.  * Serve as the definitive subject matter expert on Reporting & Analytics data and technology, offering invaluable support during client pitches and fostering thought leadership within the organization.    REQUIRED SKILLS & QUALIFICATIONS  Experience:  * 15+ years of progressive experience in Product Management, with at least 8 years in a senior leadership role (e.g., SVP, VP) managing multiple product teams.  * Demonstrable experience leading product strategy, vision, and execution for large-scale marketing performance, analytics, attribution, or optimization platforms in the AdTech, MarTech, or Agency domain.  * Proven track record of successfully bringing complex, data-driven, and AI-enabled products from concept to market, driving significant competitive advantage and exponential growth.  * Extensive experience navigating and leading product teams through significant organizational change, mergers, or integrations, transforming disparate teams into a unified, high-performing organization.  * Strong understanding and application of modern agile product development methodologies.  * Experience managing significant operating and capital expenditure budgets and defining commercial models for product portfolios.  * Proven experience in managing global product rollouts and supporting a large, diverse client base (e.g., 1000+ clients across multiple markets).    Domain Expertise:  * Advanced, hands-on knowledge of how marketing activity across Paid, Earned, Shared, Owned media channels is measured, coupled with a proven ability to translate this expertise into a compelling product vision and strategic roadmap.  * Deep expertise in advanced measurement techniques including Marketing Mix Modeling (MMM) (including various methodologies like Bayesian), Multi-Touch Attribution (MTA), Incrementality testing, and marketing experimentation.  * Strong understanding of marketing data sources, data ingestion, transformation, and reporting challenges.  * Deep expertise in data architecture and engineering principles, data modeling, ETL processes, data warehousing, and advanced analytics, particularly in the context of marketing data.    Leadership & Communication:  * Exceptional leadership, team-building, and people management skills, with a passion for mentoring and developing diverse talent.  * Superior verbal and written communication skills, with the ability to articulate complex technical and strategic concepts to diverse audiences (technical, business, executive, client) and build compelling presentations.  * Strong influencing, negotiation, and conflict resolution abilities, capable of building strong relationships and collaborating effectively with internal and external stakeholders.  * Proven ability to navigate and excel within a fast-paced, multi-market, matrixed global organization.    Strategic & Analytical Thinking:  * Exceptional strategic thinking and complex problem-solving abilities, with the capacity to identify ptimal courses of action and articulate a clear, long-term vision.  * Highly analytical and data-driven, with the ability to make informed decisions based on market insights, user data, and business objectives.  * A proactive, independent, and adaptable leader with a strong sense of ownership, thriving within demanding, fast-paced environments.    Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.   What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid  We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.

Databricks

REQ ID: FEQ227R147 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. In the UK&I Digital Natives Hunting territory, we move at the speed of the most innovative companies in the world. We don't just sell software; we partner with technical founders, CTOs, and VPs of Engineering at high-growth startups to build the future of AI. You will be an essential part of this mission, using your executive-level technical credibility and "Hunter" mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world! Reporting to Manager, Field Engineering THE IMPACT YOU WILL HAVE: * Executive Evangelism & Thought Leadership: Act as a Technical Advisor, building peer-to-peer relationships with CTOs, VPs of Engineering, and technical founders at high-growth DNBs. You will win technical mindshare in "first meetings" by articulating a vision for Data + AI that aligns with their rapid innovation cycles. * Drive New Logo Motion: Execute the high-velocity "Hunter DNA"—obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard-to-win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem. * Ecosystem Building: Drive awareness within the UK startup and VC ecosystem. You will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of "unicorns." * Strategic Technical Discovery: Move beyond traditional "hands-on" SA work to focus on high-level architecture and strategic road-mapping. You will bridge complex business requirements with technical solutions, ensuring that the Databricks Intelligence platform is seen as a strategic enabler of a startup's core product. * Regional Mentorship: Be a role model and mentor for the wider Field Engineering team, specifically coaching Solutions Architects on how to engage effectively with CxOs and navigate the unique demands of the digital-native segment. * Technical Community Engagement: Develop high-impact, customer-facing collateral, and lead technical seminars or meet-ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture. WHAT WE LOOK FOR: * Startup Leadership & Scaling Experience: 10+ years of professional experience, including significant time spent as a tech co-founder, Head of Engineering, VP-level leader, or high-impact technical contributor within high-growth startups. We value the "in the trenches" experience of scaling a business and technical stack from the ground up. While you possess the credibility to engage with senior founders, you maintain a hands-on technical edge and aren't afraid to dive into the architecture. * Executive Presence: Proven ability to influence and win trust with senior technical stakeholders and C-level executives in innovative, fast-moving environments. * Technical Depth with an Evangelist Spike: Strong technical background (8+ years) in Operational Databases, Data Engineering, Data Science, or AI, but with a primary skillset focused on technical evangelism, storytelling, and high-level architectural vision rather than tactical delivery. * Operational Database and Real-Time Data Architecture: Experience with modern operational database architectures (OLTP) and building scalable, data-driven applications, including connecting transactional systems with analytical platforms to support real-time analytics, AI/agent workloads, and operational applications.  * Startup Ecosystem Knowledge: 5+ years of deep familiarity with the startup and VC landscape. You know who the key players are and how to navigate the network of investors, accelerators, and founders. * High Velocity Mindset: Experience working with early-stage, high-growth digital natives where speed, agility, and "Time to Value" are prioritized over traditional enterprise sales cycles. * Problem-Solving Agility: Ability to innovate technical solutions for specialized customer needs and navigate a competitive landscape where prospects may already be using "greenfield" or bleeding-edge tech stacks. * Communication Excellence: Exceptional ability to articulate complex technical concepts to both highly technical audiences and business decision-makers. * Nice to have: * Familiarity with PostgreSQL-compatible systems and architectures enabling low-latency feature and application data serving. * Experience migrating or modernising operational databases (e.g. Aurora/ RDS/ PostgreSQL) toward Lakehouse integrated architectures. * Deep expertise in articulating the strategic and commercial value of Generative AI, including Large Language Models (LLMs), RAG architectures, and the shift toward Compound AI Systems. * Familiarity with the latest advancements in Agentic Workflows, model fine-tuning (Mosaic AI), and efficient inference at scale. * Established presence in the technical community (e.g., high-impact blog, regular public speaking at major conferences like Data+AI Summit, AWS re:Invent, or significant open-source contributions). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.