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At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.
What's in it for you:
- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.
You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.
The Sr. Quality Data Analyst will be responsible for leading and overseeing operational workflows within the Health Care Quality Analytics team. The ideal candidate will be accountable for ensuring the team delivers routine and ad hoc analyses and data visualizations to support MVP's health care quality functional area. The ideal candidate will have experience working with NCQA and CMS quality measures and HEDIS data to support improved health care outcomes and member satisfaction. They will also participate in automation efforts that create efficiencies and help to create a data-driven organization. The Sr. Quality Data Analyst will work with cross-functional teams, including business, technical, and Data Governance teams, to ensure the availability, accuracy, and reliability of data.
In alignment with MVP's core values, the Sr. Quality Data Analyst will be expected to demonstrate strong interpersonal and communication skills, promoting cooperation across organizational boundaries and encouraging groups to work together cooperatively. They will have strong analytical thinking skills, and a focus on continuously improving processes and reducing technical debt. Additionally, they will be self-motivated, with a sense of accountability and urgency in completing assignments.
Key Responsibilities:
- Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
- Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
- Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
- Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
- Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
- Provide training and mentorship to team members to promote growth and development.
- Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
- Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
- Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.
Position Qualifications
Minimum Education
Bachelor's degree in a related field (e.g. Mathematics, Statistics, Computer Science, Epidemiology, or Healthcare) required; Master's degree preferred.
Minimum Experience
5+ years of experience in healthcare data analysis, with a strong focus on health care quality analytics and operations.
Experience leading teams and executing on operational workflows.
Required Skills
- Strong analytical skills, with the ability to turn data into actionable insights.
- Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
- Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
- Keen attention to detail.
- Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.
Pay Transparency
MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.
We do not request current or historical salary information from candidates.
$93,667.00-$124,576.75
MVP's Inclusion Statement
At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.
MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.
To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
Job Title: Distribution and Marketing Data Product Manager
Division: Beazley Shared Services - Data Management
Location: Multiple Locations, US
Hybrid Role
Reports To: Head of Data Products
Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders
Beazley:
Beazley is a global specialist insurance company with over 30 years' experience helping people,
communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.
We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.
We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.
Data @ Beazley:
Our Data team supports Beazley's vision by...
* Being bold through pioneering & championing an exciting vision of how people interact with data
* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies
* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently
* Being the single source of truth for enterprise-wide reporting metrics and KPIs
Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.
The Role:
Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.
Key Responsibilities:
Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.
Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.
Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.
Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.
Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.
Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.
Represent the business in data governance discussions, escalating issues as appropriate.
Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.
Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.
Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.
Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.
Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.
Provide leadership, direction, development and support to direct reports (including off-shore resources).
Essential Criteria:
Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred
Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services
Experience working with data, building data models, and sharing insights
Skills and Abilities:
Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth
Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred
Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred
Strong organization and communication skills with the ability to direct work, document requirements and present demos
Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data
Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth
Knowledge and Experience:
Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred
Strong understanding of MDM and CRM systems and their use with Customer and Broker data
Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling
Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance
Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities
Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes
Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles
Experience in managing and manipulating large internal and external datasets
Knowledge of relational and dimensional database structures, theories, principles, and practices
Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment
Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority
Who We Are:
Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.
Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.
Our Culture
We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.
- Be bold
- Strive for better
- Do the right thing
Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.
We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.
Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:
- Beazley RACE - Including, understanding and celebrating People of Colour
- Beazley SHE - Successful, High potential, Empowered women in insurance
- Beazley Proud - Our global LGBTQ+ community
- Beazley Wellbeing - Supporting employees with their mental wellbeing
- Beazley Families - Supporting families and parents-to-be
We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:
- Internal Pathways (helping you grow into an underwriting role)
- iLearn (our own learning & development platform)
- LinkedIn Learning
- Mentorship program
- External qualification sponsorship
- Continuing education and tuition reimbursement
- Secondment assignments
The Rewards
- The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
- Attractive base compensation and discretionary performance related bonus
- Competitively priced medical, dental and vision insurance
- Company paid life, and short- and long-term disability insurance
- 401(k) plan with 5% company match and immediate vesting
- 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
- Up to $700 reimbursement for home office setup
- Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
- Up to 26 weeks of fully paid parental leave
- Up to 2.5 days paid annually for volunteering at a charity of your choice
- Flexible working policy, trusting our employees to do what works best for them and their teams
Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.
Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.
We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.
Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing.
Responsibilities
- This role will be responsible for Compiling periodical fund performance analyses
- Review and analyze portfolio performance data, benchmark performance and risk statistics
- Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner
- Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems
- Apply queries, pivot tables, filters and other tools to analyze data.
- Maintain client relationship management database and providing reports to Directors on a regular basis
- Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis
- Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization
- Provide various ad hoc data research and analysis as needed.
Desired Skills and Experience
- Bachelor’s Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience
- Proficiency in Microsoft Office, particularly Excel Modeling
- Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint
- Outstanding communication skills, proven ability to effectively work with all levels of Managment
- Comfortable working in a fast-paced, dead-line driven dynamic environment
- Innovative and creative thinker
- Must be detail oriented
It's a Tech stack Problem.
If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in.
You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs.
Most candidates don't fail because they're "not smart.” They fail because they prepared the wrong way—watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals.
SynergisticIT's approach is built for this exact scenario.
Since 2010, SynergisticIT has helped candidates move from "almost” to "offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack.
Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.
The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI.
Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways.
SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer).
Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round” without the offer, stop guessing and start preparing with a plan.
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Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)
Company: Meta AI (via Tundra Technical Solutions)
Location: Hybrid – 3 days onsite per week
Pay Rate: $30/hr USD
Experience Required: 4+ years
Contract: 3 months to start (Extension likely)
About the Role
Tundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.
You’ll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.
Key Responsibilities
- Execute high-quality data annotation and evaluation across multi-modal datasets
- Perform QA auditing, including sampling, inter-annotator alignment, and error analysis
- Design and run red-teaming / jailbreak prompts to test model safety across sensitive domains
- Analyze model outputs to identify policy violations, risks, and edge cases
- Apply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcement
- Collaborate with stakeholders to improve labeling guidelines and model performance
Required Qualifications
- 4+ years of experience in data annotation, labeling, or evaluation
- Proven experience with QA auditing methodologies (sampling, alignment, error analysis)
- Hands-on experience with safety-focused red-teaming or adversarial testing
- Strong understanding of US and global political landscapes and current events
- Ability to apply policy frameworks to risk identification and content evaluation
Preferred Qualifications
- Experience working with LLMs (Large Language Models)
- Bachelor’s degree (preferred, not required)
Why Apply?
- Work at the forefront of AI safety and model evaluation
- Opportunity to contribute to large-scale AI systems at Meta AI
- Collaborative, fast-paced, and impactful environment
How to Apply
If you’re interested, please apply directly or share your resume and availability for a screening call at
Job Title: Project Administrator - Data Center Information Technology/Design/Engineer Firm
Job Type: Full-time
Job Location: On-Site Edison, NJ
Project Administrator
NJ Data Center growing Information Technology/Design/Engineer Firm is seeking a Project Administrator to join our team. The Project Administrator is responsible for managing the administrative tasks and logistical aspects of data center construction or expansion projects, including coordinating with various teams, tracking project progress, maintaining documentation, and ensuring smooth execution of project activities under the guidance of a project manager, all while adhering to deadlines and budget constraints; essentially acting as the organizational backbone for the project.
Responsibilities include but are not limited to:
- Support project team on all administrative tasks and duties.
- Heavy client/vendor/supplier interaction.
- Preparation of spreadsheet reports, contracts documents, purchase and change order requests, presentations, and correspondence.
- Receive, maintain and distribute submittals, RFI’s, shop drawings and establish project log to record receipt and disposition of same.
- Coordinate project meetings and travel arrangements.
- Maintain electronic and manual database of all project files and archives.
- Other responsibilities normally performed in the execution of a Project Administrator position according to standard Architectural/Engineering industry practices.
- Assist architects/engineers with editing/issuing project book specifications (electronic IE: Master Specs).
Qualifications:
- Three to five years experience in Engineering firms or related fields.
- BA is recommended.
- Must exhibit initiative, judgment, and quality in performance and responsibilities.
- Deadline and detail oriented.
- Proficiency in Microsoft Office, Word, Excel, Outlook, Power Point.
- Ability to work well with multi disciplines in a fast paced environment.
Work Schedule:
This is a full-time job position. In office, not remote or virtual.
Normal business hours are Monday thru Friday 8-5pm.
Benefits:
- 401 k match to $3500
- Full health medical/dental/prescription/life insurance (75% paid by employer 20-25% paid by employee)
- After 3/5 years eligibility based on rating for company owned NJ shore house
- Tuition reimbursement for employee
- Subjective year end bonus plan(end September)
- Awards/recognition for superior effort and extraordinary excellence
- Longevity awards 5/10/15/20/25/30 plus years
- After 15 years education assistance for children eligibility
- After 15 years eligibility for additional retirement compensative (elective)
BRUNS-PAK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity and/or expression, national origin, disability, veteran, or other protected status.
Location: On-site
Employment Type: Contract (3-6 months)
Seniority Level: Mid-Senior
Industry: IT Services & Consulting
Job Functions: Analyst, Technical Support
JOB SUMMARY
Provide advanced technical support for enterprise iOS/iPadOS devices and services across a 7x24x365 operation. Scope includes device lifecycle activities, day‑to‑day work in Workspace One (enterprise MDM experience required; VMware Workspace ONE preferred), and carrier account management (procurement, plan optimization, billing reconciliation, SIM/eSIM lifecycle, and compliance). This role implements and supports standards defined by engineering/InfoSec and does not create new configuration profiles or perform high‑level MDM engineering.
JOB RESPONSIBILITIES
1) Mobile Device Lifecycle & UEM Administration (Support Focus)
- Provision, enroll, and configure corporate and COBO/COPE devices using Apple Business Manager Automated Device Enrollment.
- Apply and monitor MDM profiles, apps, and compliance policies as defined by engineering; troubleshoot assignment/scope issues and escalate when needed.
- Perform Tier 2/3 incident, request, and problem management for iOS/iPadOS; provide escalation support to the Service Desk.
- Support device security (passcodes/biometrics, OS updates, encryption status) and remediate non‑compliance in line with established policies.
- Execute device kitting, staging, shipping/receiving, and RMA processes with accurate CMDB/asset updates.
2) Carrier Account & Telecom Expense Management (TEM)
- Own day‑to‑day carrier account administration across supported wireless providers (e.g., line adds/changes/deactivations, number porting, device/SIM swaps, eSIM activations, IMEI/SIM tracking).
- Monitor and optimize rate plans, pooled data, features, and international roaming; recommend changes to minimize cost while meeting business needs.
- Perform monthly billing reconciliation (usage anomalies, overages, credits/disputes), cost allocation, and reporting; partner with Finance and Procurement.
- Coordinate device procurement (corporate buying programs, upgrades, trade‑in/buyback, warranty/insurance) and maintain accurate inventories.
- Ensure regulatory and emergency services readiness (e.g., E911 records where applicable), fraud prevention (SIM/eSIM security), and loss/theft controls.
- Maintain carrier portals, account hierarchies, and user permissions; document processes and KPIs (cycle time, cost per line, optimization savings).
3) Security, Compliance & Access (Implementation)
- Participate in security incident response for mobile threats (phishing, lost/stolen devices); execute remote lock/wipe and evidence preservation.
- Contribute to audit, risk, and compliance activities (SOX, PCI, privacy) by maintaining accurate records and consistent controls.
4) Service Delivery & End‑User Experience
- Deliver high‑quality deskside/remote support for executives and front‑line staff; prioritize critical operational roles.
- Maintain and continuously improve SLA/OLA performance (response, restore, request fulfillment); publish support playbooks and knowledge articles.
- Provide VIP/mission‑critical support during operations, travel, and events, including on‑call rotation in a 7x24x365 environment.
5) Asset, Inventory & CMDB
- Track mobile assets end‑to‑end (request → deployment → in‑service → repair → decommission/sanitation) and maintain accurate CMDB and stock levels.
- Reconcile device inventory with carrier billing and MDM records; remediate orphaned lines/devices.
6) Projects & Continuous Improvement (Execution)
- Support mobile‑related projects (iOS updates, app rollouts) by executing tasks under guidance, participating in UAT/pilots.
- Recommend process improvements and self‑service opportunities; update SOPs/KBs to reduce repeat tickets and improve reliability (no custom MDM engineering or scripting expected).
- Evaluate new devices and accessories; document results and provide feedback into standards.
7) Documentation & Knowledge Management
- Create and maintain standard operating procedures (SOPs), runbooks, and end‑user guides with inclusive, plain language.
- Publish and maintain knowledge base articles for the Service Desk and end users; deliver targeted training where needed.
8) Vendor, Carrier & Stakeholder Management
- Build strong partnerships with carriers, OEMs, and MDM vendors; manage escalations and service requests to resolution.
- Collaborate with Security, Networking, Procurement, Finance, HR, and Business Operations to align mobile services with business outcomes.
- Track and report KPIs (ticket volume, MTTR, compliance rate, device health, cost per line, optimization savings) and drive data‑informed decisions.
9) Mentorship & Team Development
- Mentor associate and mid‑level analysts on iOS/iPadOS support workflows, MDM usage, and carrier processes; contribute to cross‑training and skill growth.
- Promote a culture of safety, inclusion, and continuous learning.
Note: This list is not exhaustive; additional duties may be assigned based on business needs.
QUALIFICATIONS
Education
- Associate’s degree in Information Technology or a related field; or equivalent practical experience.
Work Experience
- 4–6 years in enterprise end‑user support with at least **3 years focused on iOS/iPadOS enterprise **support.
- Required: Enterprise MDM experience, Preferred: Experience with VMware Workspace ONE supporting large‑scale iOS fleets.
- Carrier account administration and telecom expense management (activations, ports, plan optimization, billing reconciliation).
Knowledge, Skills, and Abilities (KSAOs)
- Deep knowledge of iOS/iPadOS end‑user and admin features (managed apps, per‑app VPN, app configs, managed open‑in, DLP, device compliance) with an emphasis on support and implementation.
- Working knowledge of MDM platforms to apply existing profiles/policies, assign apps, troubleshoot scoping/compliance, and escalate engineering issues appropriately.
- Familiarity with Apple Business Manager (Apps & Books, Managed Apple IDs, Automated Device Enrollment) and related support workflows.
- Practical understanding of carrier services: SIM/eSIM lifecycle, IMEI tracking, number assignment/porting, international roaming, and cost controls.
- Data analysis for telecom billing reconciliation (Excel/Sheets, pivot tables, lookups) and KPI reporting.
- Excellent communication, customer service, and stakeholder management; ability to explain technical topics in plain language.
- Basic scripting/reporting familiarity is a plus (e.g., exported reports, simple data cleanup); no custom MDM scripting required.
- Knowledge of ITIL practices (incident, problem, change, request, CMDB/asset).
- Ability to lift and carry mobile equipment/shipments (up to ~20 lbs).
Certifications (Preferred)
- Apple Device Support/Deployment certifications.
- Microsoft 365 Certified: Endpoint Administrator Associate (MD‑102) or equivalent.
- VMware/Omnissa VCP‑DWS (preferred).
WORKING CONDITIONS
- Supports a 7x24x365 operation with occasional after‑hours work and on‑call rotation.
- May require limited travel for deployments, vendor meetings, or training.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Team & Mission
The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.
Role Summary
We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.
What you'll do:
- Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
- Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
- Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
- Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
- Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
- Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
- Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
What we're looking for:
- BS+ in Computer Science (or related field) or equivalent practical experience.
- 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
- Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
- Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
- Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
- Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
- Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Under the direction of the Manager of Payroll, the Technical Assistant, Payroll is responsible for performing a variety of highly responsible and complex tasks related to processing employee payroll. The Technical Assistant is responsible for processing large-volume transactions rapidly and accurately completing computations for payroll including leave balance adjustments, sick leave bank reconciliation, manual time sheet entries, salary vouchers, payroll payables, and direct payments; specific assigned tasks may be distributed among several Technical Assistants for efficient processing.
Minimum qualifications include a combination of education and experience. Education: High school diploma or GED equivalent. Experience: Five (5) years of experience with payroll, budget, accounting, or human resources. One (1) year of experience utilizing spreadsheets to organize, manipulate, and analyze data.
Preferred qualifications include one (1) year of experience utilizing Workday or a similar Human Capital Management system. Proficiency in using Microsoft Word and Excel. Previous work experience in a PreK-12 school setting. Fundamental Payroll Certification (FPC).
Essential position responsibilities include entering leave of absence transactions or serving as backup for assigned groups of employees in accordance with applicable negotiated agreements and HCPSS policies. Processes sick leave bank awards to eligible employees, monitors usage, balances, and reconciles sick leave bank donations. Reconciles time off events in the system of record and absences in the absence management system to ensure leaves are entered and are accurately used. Receives and reviews timesheets, salary vouchers, and other pay related documents to ensure proper usage, tracking, and entry of time worked and leave taken and/or available. Reconciles and audits payroll input for accuracy prior to payroll processing deadlines. Completes requests for wage verifications. Provides customer service to all HCPSS employees and external stakeholders via written and oral communications. Responds to a high volume of payroll inquiries regarding pay and leave questions and concerns. Participates in the onboarding process for new employees by providing information and answering questions about payroll. Participates in projects and tasks to update and enhance existing payroll functions and/or procedures. Utilizes and applies all applicable negotiated agreements and HCPSS policies to the implementation of payroll procedures.
Essential knowledge, skills, and abilities include strong organizational skills with the ability to manage multiple tasks, prioritize effectively, and meet deadlines. Strong written and verbal communication skills to interact with various stakeholders, both internally and externally. The ability to build and maintain strong relationships with colleagues and clients. The ability to adapt to changing priorities and work under pressure. The ability to handle, process, and maintain confidentiality of sensitive and privileged transactions including records, documents, and data. Skilled at handling high volume and time sensitive transactions accurately. Demonstrated proficiency with business technology applications including Google Docs, Microsoft Office Suite, Workday or similar HCM. Knowledge and understanding of applicable negotiated agreement provisions and HCPSS policy and procedures.
Working hours are 8 hours including a one-hour duty-free lunch.
Complete applications must be submitted, and once your application has been submitted, you will not be able to add documentation or make any changes. Incomplete applications will not be accepted. Resumes will not be accepted in lieu of a completed application. Supplemental Application Questions: This position requires applicants to provide responses to the below supplemental application questions to determine whether you meet the minimum and preferred qualifications. Please upload your responses in a separate file to the supplemental application questions section of the application.
Compensation for this 12-month per year position is Grade 2 1 on the Technical Central Office and School Based salary scale, $48,649 - $96,667. This position is exempt from overtime under the Fair Labor Standards Act. Under the HCPSS Telework Program, this position is eligible for a hybrid telework schedule. Membership in the Maryland State Retirement Agency (MSRA) pension plan is a mandatory condition of employment. HCPSS offers a comprehensive benefits package for eligible employees. Professional references will be contacted prior to any offer of employment. All employees, regular and temporary, must be fingerprinted, have a criminal background investigation completed, and successfully complete the Maryland Employment History Review, pursuant to Section 6-113.2 of the Education Article, Annotated Code of Maryland. In addition, some positions will require completion of a physical examination and/or drug testing. Anyone offered employment is required to provide proper identification and documentation of eligibility for employment in the United States. HCPSS participates in E-Verify and does not offer employee sponsorship.
Equal Opportunity Employer: HCPSS is committed to creating an inclusive environment for all employees and applicants and prohibits discrimination, harassment, and retaliation of any kind. All employment decisions at HCPSS are based on organizational needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, veteran status or present military service, family medical history or genetic information, family or parental status, or any other characteristic protected by federal, state or local laws.
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)