Associate Director - Salesforce Marketing Cloud

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. JOB RESPONSIBILITIES * You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. * You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation. * You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. * You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. * You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. * As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. * You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions. * You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation. * You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing. * You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs. * You can design and execute cross-functional requirements based on business priorities. * You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python. * You have experience with distributed systems and scalable architectures to handle large-scale ML applications. * You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. * You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML. * You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. * You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. * You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ACCOMMODATIONS Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law. If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process. Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements. Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process. CANCELLATIONS As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote SALARY Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary $156,000—$251,000 CAD See here our AI policy.

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.   Our core corporate functions (Finance, Manufacturing and Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  The Business Systems Engineer possesses both business and technical acumen. This engineering role provides support for Lyft’s Corporate systems, managing their daily performance and incidents, implementing effective monitoring and alerting tools, creating automated workflows, building customer solutions, developing software, configuring applications, providing end user training and protecting all system related information assets.     To effectively support our business stakeholders, candidates for this role must be proactive, detail oriented, highly technical, analytical, service focussed and possess the ability to execute the following skills RESPONSIBILITIES: * Techno-Functional professional with 5+ years of experience in ERP Financials, Supply chain and Manufacturing implementations (e.g., Oracle ERP Cloud). * A minimum of 5 years of experience implementing some combination of Oracle Financials & Supply Chain applications such as: Plan to Manufacture, Source to Pay, Acquire to Retire, Warehouse Management, Cost Accounting, Inventory Management, Supply Chain Planning, Order Management, General Ledger, Subledger Accounting, Procure-to-Pay, Financial Accounting Hub , Accounts Receivables, Accounts Payables, Cash Management, Fixed Assets, Order to Cash, Record to Report, Advanced Global Intercompany Systems,  FCCS, ARCS, EDMCS, Macro excel, EPBCS tracks. * Demonstrated experience in gathering and documenting business requirements, leading fit-gap analysis, as-is and to- be business process designs, functional configuration, testing, user training. * As a Lyft Business Systems Engineer, you are primarily responsible for capturing, analyzing and estimating customer business requirements and translating them into Oracle Cloud ERP and Boundary apps solution architecture that fits within the business objectives. * Expert knowledge in Accounting and Business Process Flows. * Good exposure to Data migration using FBDI. * Should be able to design custom solutions using the Oracle best practices of Oracle finance, Supply chain  and Manufacturing. * Should be able to coordinate the design, development, and different testing activities * Experience on SQL, PL/SQL, BIP, OTBI, APEX and BICC reports. * Must have experience collaborating with business users on business process enhancements in the manufacturing ecosystem. * Strong oral and written communication skills, including presentation skills (gslides, lucid charts) * Strong problem solving and troubleshooting skills with the ability to exercise mature judgment * Maintain and document current and new system requirements * Work with product, engineering and operational business stakeholders to understand and prioritize business systems needs * Monitor infrastructure and platform performance. * Manage the deployment of new software, version upgrades, patch releases and major incidents. * Manage development, Test, Release and Production environments in Cloud. * Identify actionable, value-added optimization and efficiency opportunities, and contribute to the continuous improvement of our applications and processes. * Manage stakeholder requirements and develop detailed implementation plans * Carry out regular stakeholder meetings, run workshops and effective communication and collaboration sessions. * Good understanding of Role based architecture and custom role design * Good Understanding of REST API and Web services usage * Carry out technical system audits to ensure compliance with appropriate standards. * Employ agile methodology in the development of software, systems interfaces and application configurations. EXPERIENCE & SKILLS: * 5+ years work experience in IT systems and deep domain knowledge of the associated Business Systems Oracle Fusion cloud. * Good understanding of the software development lifecycle and familiarity with development and support activities. * Experience of developing plans and project management techniques.  * Proven ability to translate unstructured business problems into clearly defined requirements * Comfortable communicating and empathizing with individuals across a variety of roles — you will need to gather needs from Support business owners, and then articulate those needs to technical partners * Experience transforming data & automating processes using a scripting language like Python. * Proven success in enterprise back-up, system recovery, performance monitoring, virtualization, cloud computing and storage, content delivery, caching, creating volumes, assigning resources and remote replication. BENEFITS: * Extended health and dental coverage options, along with life insurance and disability benefits * Mental health benefits * Family building benefits * Child care and pet benefits * Access to a Lyft funded Health Care Savings Account * RRSP plan with company match to help save for your future * In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service  * Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the Toronto area is CAD $102,000 - CAD $127,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.